Alternatives to Q247

Planview Software Product Delivery Solution is a comprehensive enterprise platform that provides delivery intelligence by connecting strategy to execution across development toolchains. It integrates seamlessly with tools such as Azure DevOps, GitHub, and Jira to collect and unify real-time data from across teams. This allows organizations to gain full visibility into their delivery processes and make informed decisions. The platform includes features like cross-team dependency management, capacity planning, and agile planning at both team and portfolio levels. It enables users to analyze workflows, identify bottlenecks, and optimize delivery performance. Advanced analytics, including DORA metrics, provide insights into engineering efficiency and outcomes. AI-powered roadmapping helps align business objectives with execution strategies. The solution also supports connected OKRs to ensure teams stay aligned with organizational goals. Portfolio-level investment planning and scenario modeling allow leaders to evaluate different strategies. Risk signals are surfaced early through configurable thresholds and flow metrics. By replacing manual reporting with real-time dashboards, Planview improves transparency and decision-making. Ultimately, it helps enterprises deliver digital products more efficiently and with measurable impact.

Jellyfish, the top Engineering Management Platform, provides complete visibility into engineering organizations, their work, and their operations. Jellyfish analyzes engineering signals from Git, Jira, and contextual business data such as roadmapping, incident response, calendar, and collaboration tool. This allows engineering leaders to align engineering decisions and business initiatives, and deliver the right software on time and efficiently. Jellyfish allows engineering leaders to focus their teams on the most important things for the business, driving strategic decision-making and delivering results.

Cortex is the Engineering Operations Platform that enables organizations to continuously improve their operational maturity and reduce developer friction. With centralized visibility, clear ownership, automated Scorecards, and golden paths, we help engineering organizations operate as one. Our customers – from startups to Fortune 100 enterprises – create a culture of engineering excellence, reducing incidents by 30% and improving MTTR by 50%, all while making it easier for developers to focus on building.

We combine and reconstruct Git, release and project data to provide real-time project insight and team metrics. This is done with no manual updates or interruptions to developers. LinearB's Software Delivery Intelligence platform analyzes hundreds if not thousands of signals from your Git or project systems every minute to highlight areas where you can make the most impact on your team. Software Delivery Intelligence is a tool that helps developers accelerate their delivery. It correlates development pipeline data (code, git, projects and CI/CD) to provide visibility, context, and workflow automation for each member of the team.

Faros AI combines all your operational data from multiple sources and enhances them with machine learning signals. The Faros AI Engineering Operations Platform allows you to harness this data so you can accelerate productivity, and better manager your engineering operations. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice.

Pluralsight Flow helps engineering teams to improve software delivery by providing actionable insights from their code repositories and agile tools. Engineering teams can increase their team's product delivery speed by identifying and removing developer friction and building healthy software development patterns. Flow provides engineering teams more understanding into their team’s workflow patterns which then enables them to identify bottlenecks, compare trends and help their team to build better. Flow helps teams to improve their developer experience while also improve the quality and speed of their delivery speed.

Exceeds AI is a sophisticated performance-intelligence platform designed specifically for engineering teams, which captures and interprets genuine coding activities, collaboration efforts, and AI-driven programming tasks to provide valuable insights. It monitors metrics at both the individual and team levels, encompassing code contributions, updates on issues or tickets, meeting records, review processes, and the usage of AI tools, while generating a dynamic profile for each engineer that highlights their strengths, areas for development, and ongoing performance trends. Rather than depending solely on metadata, it delves into actual code and workflow modifications to pinpoint where AI enhances efficiency, where it creates obstacles, and under what circumstances quality or speed may decline. When it detects anomalies or concerning trends, such as ineffective AI-assisted modifications or workflow delays, Exceeds flags these issues, prioritizing them based on significance, providing root-cause analysis, and offering customized suggestions for improvement. This proactive approach not only helps in resolving current problems but also aids teams in fostering a culture of continuous enhancement in their coding practices.

CodePulse is an analytics platform designed for software engineering that integrates with GitHub repositories using read-only permissions to effortlessly monitor and evaluate development activities, enabling teams to identify where their time is allocated, assess delivery performance, and implement data-informed enhancements without delving into the actual source code. By adopting a metadata-centric strategy, it scrutinizes activities such as pull requests, commit logs, review processes, and repository behaviors to offer insights into various metrics like engineering velocity, cycle times, review delays, team health indicators, DORA metrics, and trend predictions, which aid in pinpointing inefficiencies, collaboration issues, and areas ripe for process improvement throughout the development lifecycle. Furthermore, CodePulse prioritizes user security and confidentiality by refraining from accessing source code, secrets, or environment variables, while also equipping users with dashboards, concise executive summaries, and integrated playbooks that transform metrics into actionable insights, empowering leaders to effectively convey impact and drive strategic decisions. This comprehensive approach ensures that teams not only gain visibility into their workflows but also have the tools needed to foster continuous improvement and enhance productivity.

Pensero is a cutting-edge platform that leverages AI to enhance observability and performance analytics, designed specifically for engineering teams and their leaders to gain a deeper understanding of software development processes. It automates the collection and integration of "work signals" from existing tools utilized by your team, including code repositories, issue trackers, and communication platforms, translating disjointed activities into granular insights. These insights are then converted into objective metrics, live dashboards, and comprehensive reports that not only reflect the volume of work completed but also factor in complexity and workflow dynamics. With Pensero, you gain immediate visibility into ongoing projects, contributions from team members, and the overall flow of work within the organization, as well as how team productivity aligns with strategic roadmaps and business objectives. Its seamless integration and scalability enable teams to swiftly transform raw data from various tools into actionable insights that drive performance improvements. Ultimately, Pensero empowers organizations to optimize their software development efforts more effectively than ever before.

Typo is an AI-powered software delivery management platform that empowers tech teams with real-time SDLC visibility, automated code reviews & DevEx insights to help them code better, deploy faster & stay true to their business goals. Connect Typo with your existing tool stack (Git, Project management, CI/CD, Incidents, Slack, etc) within 30 seconds & enable your teams with: - Real-time SDLC visibility, DORA Metrics & Delivery Intelligence - Automated code reviews, vulnerabilities & auto-fixes - Developer Experience insights & potential burnout zones Start your 14-day free trial now by visiting Typo's website.

Echoes provides an in-depth view of your teams and enables you to manage project delivery effectively. With a quick glance, you can visualize the current delivery status of your organization. By integrating various development tools, Echoes offers a unified perspective of your entire project portfolio, eliminating the need to manually piece together information from different sources. It intelligently assesses ongoing activities to pinpoint and emphasize factors that may jeopardize timely delivery. Stay informed about the project's execution and enhance forecasting accuracy with real-time insights. Moreover, it evaluates your team's performance to uncover potential risks and recommend solutions, ensuring you are not overwhelmed by superficial metrics. Instead, you will receive timely alerts when critical issues arise. By consolidating data from your roadmap, OKRs, delivery performance indicators (DORA), team interactions, and more, Echoes reveals insights that isolated metrics fail to provide. This comprehensive visualization allows you to align your team's efforts with organizational priorities, offering a clearer picture of resource allocation and focus areas. Understanding these dynamics can significantly enhance strategic decision-making processes within your organization.

Middleware alleviates the burden of constant follow-ups for engineering managers, ensuring seamless product delivery while pinpointing workflow obstacles to eliminate any disruptions for their teams. By integrating with existing tools such as GitHub, Calendar, and Jira, Middleware equips managers with valuable insights that promote efficient team management and help safeguard engineers from exhaustion. It offers a consolidated view that emphasizes critical areas needing attention, whether they relate to project delivery or team dynamics. By analyzing pull requests, Middleware can identify which reviewers may be causing delays or if the team is frequently waiting for feedback on their code changes. Additionally, it highlights instances where team members may be overloaded with meetings and deadlines, thus safeguarding against burnout or disengagement. The Middleware 1:1 feature provides a comprehensive overview of each developer's performance, enabling managers to monitor growth areas and set goals effectively, ultimately fostering the professional development of their engineers. This holistic approach ensures that both the productivity and well-being of the team are prioritized, creating an environment conducive to success.

Harness is a comprehensive AI-native software delivery platform designed to modernize DevOps practices by automating continuous integration, continuous delivery, and GitOps workflows across multi-cloud and multi-service environments. It empowers engineering teams to build faster, deploy confidently, and manage infrastructure as code with automated error reduction and cost control. The platform integrates new capabilities like database DevOps, artifact registries, and on-demand cloud development environments to simplify complex operations. Harness also enhances software quality through AI-driven test automation, chaos engineering, and predictive incident response that minimize downtime. Feature management and experimentation tools allow controlled releases and data-driven decision-making. Security and compliance are strengthened with automated vulnerability scanning, runtime protection, and supply chain security. Harness offers deep insights into engineering productivity and cloud spend, helping teams optimize resources. With over 100 integrations and trusted by top companies, Harness unifies AI and DevOps to accelerate innovation and developer productivity.

Velocity provides detailed, contextual analytics that enable engineering leaders to help their team members, resolve team roadblocks and streamline engineering processes. Engineering leaders can get actionable metrics. Velocity transforms data from commits to pull requests into the insights that you need to make lasting improvements in your team's productivity. Quality: Automated code reviews for test coverage, maintainability, and more so you can save time and merge with confidence. Automated code review comments for pull requests. Our 10-point technical debt assessment gives you real-time feedback so that you can focus on the important things in your code review discussions. You can get perfect coverage every time. Check coverage line-by-line within diffs. Never merge code again without passing sufficient tests. You can quickly identify files that are frequently modified and have poor coverage or maintainability issues. Each day, track your progress towards measurable goals.

FlouState is a sophisticated tool for tracking focus that caters specifically to developers by automatically observing and classifying coding activities to yield valuable insights into productivity and work habits. Unlike conventional time tracking solutions that merely record the duration of coding sessions, FlouState delves deeper by analyzing the nature of the work being performed, categorizing activities into segments such as creation, exploration, refactoring, and debugging. This tool operates quietly in the background as an extension for VS Code, eliminating the need for manual timers or user input, while also capturing contextual data like projects, Git branches, and files to present a comprehensive overview of how time is allocated. By converting raw activity information into actionable insights through user-friendly dashboards, detailed file analytics, and AI-driven summaries, FlouState brings attention to patterns like peak productivity periods and workflow inefficiencies. Additionally, it monitors uninterrupted focus periods, allowing developers to identify when they reach their most productive states and how frequently changing tasks impacts their performance, ultimately fostering a greater understanding of their work habits and enhancing overall efficiency.

Identify your strengths while addressing concealed bottlenecks to enhance productivity and agility throughout your DevOps lifecycle. Gain practical insights to elevate efficiency in each phase by integrating data from Jira, Jenkins, GitHub, GitLab, Azure DevOps, SonarQube, and various other platforms. Utilize software metrics to assess agile velocity, quality, security, and data integrity. Create customizable dashboards that allow you to aggregate or examine details as needed. Accelerate the development of high-quality products and focus on delivering outcomes that prioritize customer needs. Enhance data integrity and streamline processes to drive efficiency. Foster a culture that values collaboration and recognition, which can lead to improved employee retention rates. Regularly evaluate the quality of requirements, acceptance criteria, and agile sprint plans to ensure clarity and precision. Implement automation for issue routing and task reminders to minimize downtime and unproductive waiting periods. Stay ahead of potential risks with early warnings regarding sprint delays. Make informed decisions by considering customer impact, and use timely alerts to speed up pull request reviews and merges, thus enhancing overall velocity. Additionally, conditionally automate repetitive task sequences to alleviate cognitive burden and maintain team focus on more critical tasks. Strive for continuous improvement by consistently analyzing and refining your processes.

Using your GitHub data to power engineering analytics, you can ship faster and improve team satisfaction. Analyze pull request data at the team level to identify "NorthStar" metrics such as cycle time, deployment frequency and change failure rate that will help you improve delivery. Find bottlenecks such as code review quickly, then experiment with smaller pull requests and automated tests to improve the outcome.

Hatica provides actionable analytics and workflows that empower engineering teams to be their best. Combine git, project and collaboration data to gain insights into dev workflows that will help your engineering teams do their best work. Track Pull requests metrics from open through deployment, along with code-review metrics, to identify bottlenecks or opportunities for improvement. Metrics such as deployment frequency, MTTR and change failure rate can be used to measure DevOps performance. A centralized dashboard that displays aggregated activity and metrics from git, project management and CI/CD tools, which act as a proxy for progress and performance, allows you to view the data. You can gain insight into the allocation of effort by engineering teams to align them with business goals. Hatica consolidates all work activity and progress in a central dashboard, giving visibility into where your teams are working and what they are facing.

Axify provides cutting-edge features that are aligned with current software engineering trends and research, crafted specifically by a team of developers for their fellow developers. Our sophisticated algorithm generates precise delivery estimates by analyzing your team's activities while also offering critical insights into any process-related challenges that may hinder timely delivery. Instantly access information on team workloads, the time dedicated to development tasks, and how these tasks align with your organization's goals. Centralize all your engineering metrics to facilitate informed decision-making, synchronize your development teams, and enhance your software delivery processes. By automatically gathering data throughout your software development lifecycle, you gain a comprehensive view of your team's progress, enabling more effective prioritization. Additionally, keep track of engineering metrics and key performance indicators, while also obtaining a detailed overview of how resources are allocated within your development team. This holistic approach not only streamlines workflows but also fosters a culture of continuous improvement.

Enhance your software engineering initiatives by integrating actionable insights alongside captivating gamification elements. Streamline your engineering workflows, pinpoint potential obstacles, and monitor team performance through valuable insights, which help ensure projects remain on schedule while achieving top-notch results. Equip your team with these insights, gamified encouragement, and transparent performance metrics to boost engagement and efficiency. Gain comprehensive visibility into your engineering team's performance, recognize issues, and leverage data-driven strategies to refine delivery and foster business expansion. Installing the complimentary GitHub app provides you with detailed insights into the development process without requiring any manual input, allowing your team to continue focusing on project objectives seamlessly. Unlock a wealth of AI-enhanced insights and tailored recommendations with just a couple of clicks. We aggregate Git data, capturing various activities like commits and pull requests, along with timestamps and author details, to enrich your project management experience. This approach not only simplifies tracking but also encourages a more collaborative and informed development environment.

Looking beyond mere lines of code or the frequency of commits, teams that focus on measuring developer productivity have a higher likelihood of meeting their deadlines. The average company listed on the S&P 500 faces considerable financial setbacks for each employee due to ineffective productivity levels. A significant portion of engineering leaders—over one-third—struggle with accurately assessing developer efficiency. Implementing a standardized evaluation framework can yield precise insights into shipping velocity, regardless of the variety within your tech stack. With access to a tailored dashboard, you can monitor the shipping velocity of your engineering teams across various departments. Our approach standardizes the code evaluation process across multiple programming languages, ensuring consistency and fairness. Additionally, we offer an engineer performance index that allows for performance comparisons against industry peers with similar characteristics. This understanding enables you to gain insights into how much time your engineers dedicate to resolving bugs or managing unexpected tasks, ultimately enhancing overall productivity and efficiency.

GitClear serves as a condensed guide for GitHub, transforming all of your repository's commits into a streamlined data format that enables both managers and engineers to quickly grasp the essence of their code. Developers benefit from reduced repetitive review tasks, allowing them to dedicate more time to actual coding. Managers gain insight into the dynamics of their development teams through a clear overview. Additionally, both groups have access to a metrics dashboard that fosters data-driven decision-making. High-performing teams actively eliminate distractions from their weekly agendas to enhance productivity. The Hourly Impact report empowers managers to carve out uninterrupted periods for focused work, optimizing their team's efficiency. Moreover, in a private chart designed specifically for developers, individuals can assess how their performance aligns with peers at the same experience level, ensuring that the onboarding process effectively supports new developers’ needs. This comprehensive approach not only streamlines workflow but also enhances overall team collaboration.

Discover an innovative approach to assess technical debt and code quality that caters to both engineering executives and non-technical managers alike. By harnessing the latent capabilities of your team, you can gain crucial insights that enhance product delivery. With Duecode, you remain in sync with your team’s progress, receiving up-to-the-minute information about software quality and identifying your top contributors. This platform provides essential visibility into each developer's workflow and highlights potential vulnerabilities in your project's code. You don't need any technical background to grasp the intricacies of your project’s performance. Through the analysis of an impressive 2.5 billion lines of code and 172,000 repositories, we have distilled code quality into a simple letter ranking system. Enhance the transparency of your project's technical debt with Duecode, enabling you to identify challenges early and address them effectively. Additionally, maintain your codebase's integrity by pinpointing excessive commits and averting disarray within your code structure. By adopting this proactive approach, your team can ensure sustained software excellence and innovation.

SonarQube Server serves as a self-hosted solution for ongoing code quality assessment, enabling development teams to detect and address bugs, vulnerabilities, and code issues in real time. It delivers automated static analysis across multiple programming languages, ensuring that the highest standards of quality and security are upheld throughout the software development process. Additionally, SonarQube Server integrates effortlessly with current CI/CD workflows, providing options for both on-premise and cloud deployments. Equipped with sophisticated reporting capabilities, it assists teams in managing technical debt, monitoring progress, and maintaining coding standards. This platform is particularly well-suited for organizations desiring comprehensive oversight of their code quality and security while maintaining high performance levels. Furthermore, SonarQube fosters a culture of continuous improvement within development teams, encouraging proactive measures to enhance code integrity over time.

GitView is an git analytics tool for engineers leaders. All the work happening in your engineering organization can be seen in one place. You will see code changes, pull request, and reviews. Use meaningful metrics to determine which code changes are most impactful. Simple to understand graphs and tables show impact scores and whether code modifications are new work, slow, churn, legacy changes (refactor) or simple removal. DORA insights include deployment frequency, lead times for changes and failure rate. Visual displays of velocity and detailed cycle time breakdown help to identify bottlenecks and improve efficiency. All data can be filtered using teams, contributors, repositories, and other methods. We emphasize transparency & customizability. You can see how each data point was calculated. You can also use Raw SQL to create custom reports, dashboards and emailers.

Plandek is an intelligent analytics platform that empowers software engineering teams and leaders to deliver value faster and more predictably. Celebrated by Gartner and Forrester as a 'leading global vendor', Plandek mines data from delivery teams’ toolsets and gives them the opportunity to optimise their delivery process using both intelligent insights and predictive analytics.

Logilica provides software engineering intelligence platform for modern development teams that need to move fast. Logilica provides end-to-end visibility across the software lifecycle to improve engineering effectiveness and deliver predictably. Engineering leaders love Logilica's out-of-the box insights coupled with their embedded analytics for custom metrics and reporting.

ALTO is a Slack app that integrates GitHub, Gitlab and JIRA. It helps improve productivity and visibility of your development team, as well as help you build healthy habits right from the start! Receive Slack messages about merge requests or pull requests that have been pending merge into default branch for too long. Promote one of the key Continuous delivery practices - shipping smaller changes more frequently. ALTO collects Merge request analytics and feedback on day-to-day tasks, combined with DORA statistics, giving YOU an overview of the development team in one place. You don't need to waste time searching through the data. Set YOUR goals using YOUR own historical data and not an "industry standard". This baseline will help the team be 5% more efficient this sprint than last sprint. Continue to improve the team's working methods and align them with the entire tech organisation.

Weave is an innovative tool that leverages machine learning to accurately assess engineering output, truly comprehending the nuances of this vital area. Engineering leaders frequently evaluate output, whether transparently or discreetly, but often depend on inadequate metrics such as lines of code, the number of pull requests, or story points, which only have weak correlations to actual effort, hovering around 0.3 and 0.35 respectively. These metrics fall short as effective indicators of productivity. To address this issue, we have crafted a specialized model that thoroughly examines code and its effects, achieving a significantly higher correlation of 0.94. Our solution introduces a standardized metric for measuring engineering output that avoids promoting superficial achievements. Moreover, it allows you to compare your team's performance with that of peers while ensuring complete confidentiality. This holistic approach not only enhances understanding but also fosters a more accurate evaluation of engineering success.

There are ways to improve the efficiency of your engineering organization without compromising quality or culture. Tools and insights for high-performing engineering teams. It is difficult to improve what you don’t measure. To unblock the flow and align engineering with business goals, use key engineering metrics. This will allow you to drive continuous improvement. Identify and remove any blockers. Transparency is the key to insight. Get visibility into your engineering process with insight into flow and velocity, CI/CD practice, code quality, and many other factors. The roadmap doesn't reflect up to 60% of all work. Swarmia helps teams to focus on the most important initiatives by showing the impact of unplanned work, bugs and scope creep on their plans. The best teams are always improving. Adopting and measuring the best-performing working agreements will help you build new team habits. Allowing teams to do their best work.

Unify your code, tickets, and additional resources for comprehensive visibility in software development, all centralized in a single platform. You can track aspects like scrum sprint completions, accuracy of estimates, lead times, and kanban work-in-progress, among others. Additionally, manage development time, cost capitalization, R&D credits, and overall project completions seamlessly. You can monitor bug-related metrics such as Service Level Agreements (MTTR), rate of change failures, thoroughness of reviews, total bug load, and beyond. Also, assess pull request cycle times, ticket lead times, time spent in various statuses, context switching, and flow efficiency, to gain deeper insights. All pre-built reports utilize the minQL query language and are completely customizable. With access to any field from any data source, you can develop tailored metrics using advanced formulas, which include custom event cycle times. Establish objectives and monitor your advancement toward reliable software delivery through minware’s extensive collection of scorecard metrics. Evaluate best practices related to code and tickets, such as the use of pull requests, detailed code reviews, and linking branches to tickets for optimal project management. Furthermore, the platform empowers teams to enhance their workflows and drive continuous improvement in software development practices.

CloudBees is a software delivery platform that offers complete functionality. Developers can innovate faster with self-service, scalable, repeatable and compliant workflows. Learn how we can help you release safer, faster software. You can manage, release, and monitor features at scale. Visibility should not be limited to a single pipeline. You can orchestrate your software delivery company from beginning to end. Learn why "meta" orchestration is such a game-changer. Analyze, communicate, and measure the impact of software delivery on business performance. Get answers to your questions about software delivery analytics. You can ensure that assets are compliant at all stages, including production. This will allow you to automatically identify potential risks and address them. Stop waiting for builds, fixing bugs and rewriting scripts. You can now focus on your core competencies: feature management and fast workflows. Automate compliance, security, governance and compliance without limiting flexibility. Developers are happier when you're confident. Software delivery should be treated as a business. Manage risk proactively

Optimal AI's premier offering, Optibot, serves as an on-demand AI-driven code reviewer that can be seamlessly integrated with platforms like GitHub, GitLab, or Bitbucket in less than a minute, effectively identifying bugs, security flaws, hard-coded credentials, and other potential risks without retaining or utilizing your data for training purposes. By developing an understanding of your codebase and providing context-rich insights, Optibot is capable of halving the time required for pull-request reviews, allowing senior engineers to focus on more complex tasks and enhancing overall team productivity through real-time dashboards that highlight cycle times, review efficacy, and performance metrics. In addition to automated pull-request evaluations, Optibot features customizable agents that facilitate analysis of code complexity, predictive maintenance, advanced bug detection, estimation of story points, and management of regulatory changes, along with JIRA integrations for enhanced contextual reviews. Furthermore, the security-oriented agents actively scan for issues such as misconfigurations, race conditions, and other vulnerabilities, ensuring a comprehensive approach to code safety. The combination of these features not only streamlines development processes but also fosters a culture of continuous improvement within engineering teams.

Allstacks uses machine learning models to analyze software delivery life cycle data for delivery risks, insights, and projected outcomes for engineering stakeholders. Our value stream intelligence platform provides insights across all your projects and tools. Gathering and analyzing past work data and behavior from the tools your team is already using from the most common engineering software in the market. Extremely simple, you are up and running in less than two minutes. Allstacks aggregates all of your tools and data into a single and straightforward platform so you can accelerate your engineering team’s ability to deliver great software products.

Similar to how a fitness tracker aids in monitoring your progress, Adadot is designed to enhance your capabilities as a developer. It enables you to boost your shipping speed, improve code quality, and enhance collaboration while keeping your well-being intact. With built-in privacy measures such as de-identification, data aggregation, and differential privacy, you can rest assured that only authorized individuals will have access to the necessary information through customizable access permissions. Adadot seamlessly integrates with your existing tools, revealing insights that have previously gone unnoticed. The principle of "if you can't measure it, you can't improve it" is central to its functionality, allowing you to benchmark both personal and team performances against some of the top developers worldwide. For the first time, you have the ability to analyze and compare your progress over time and alongside your peers. With Adadot’s intuitive alerts and suggestions, you can avoid overextending yourself or your team, ensuring a balanced approach to productivity. By utilizing this tool, you gain a competitive edge while maintaining a healthy work-life balance, ultimately leading to a more rewarding development experience.

Introducing a comprehensive engineering management platform that encompasses metrics, AI-driven insights, developer feedback, and automation tools. Utilize essential metrics such as DORA, cycle time, and flow to assess velocity, quality, productivity, and various other elements. Seamlessly integrate all components of your technology stack with connections to platforms like GitHub, Jira, CI/CD, and PagerDuty, among others. Effortlessly create tailored metrics using our intuitive metric builder interface and configure dashboards that align with the specific needs of your engineering organization. Identify critical areas needing attention, including bottlenecks, best practices, and team-related challenges. Receive detailed reports that highlight significant metrics and insights relevant to your teams. Customize reports to ensure you remain updated on your team’s advancements and key priorities. Gain a clear understanding of how your team's time is allocated, whether it’s focused on new features, knowledge transfer and learning operations (KTLO), or unexpected tasks. Additionally, assess the engineering costs associated with delivering key initiatives and client projects, enabling informed decision-making for future endeavors.

Athenian is a comprehensive engineering platform that leverages data to give engineering leaders complete visibility, allowing them to comprehend the reasons behind their processes, make informed choices, and align their teams with the overarching objectives of the company. By presenting insights into the delivery pipeline without fixating on separate metrics, Athenian cultivates an environment of ongoing enhancement. Users have indicated remarkable improvements, such as a reduction of over 30% in PR cycle time, a fivefold rise in release frequency, and a greater than 40% decrease in lead time within the initial three months of implementation. The platform promotes deeper insights by providing full visibility from the creation of tickets to their deployment in production, is designed to be team-centric to guarantee success across the organization, and focuses on achieving success through continuous mentoring from seasoned engineering professionals. Athenian also offers seamless integration with existing technology stacks, along with a variety of resources including blogs, podcasts, and toolkits, to empower engineering leaders in realizing their objectives. Additionally, it encourages collaboration among teams, which not only enhances productivity but also drives innovation.

Software.com's development observability platform significantly improves visibility in software delivery processes by pinpointing inefficiencies, eliminating obstacles, and tracking enhancements over time. By providing fully automated metrics and insights, it removes the necessity for manual API integrations and complicated data management, enabling teams to concentrate on leadership rather than data logistics. The platform offers universally standardized metrics across different companies, facilitating performance comparisons with organizations of similar size. With an incredibly quick and straightforward setup, users can access six months of historical data in just minutes. Additionally, it seamlessly integrates with popular tools such as GitHub, GitLab, and Bitbucket to monitor crucial metrics, while also connecting with Jira and other platforms for deeper insights. The workflow automation features foster better collaboration among teams and expedite the shipping process, offering capabilities like deploy previews, customized digests, reminders, asynchronous reviews, and a standup bot. Overall, this comprehensive approach not only streamlines development but also enhances the overall efficiency of software delivery.

Cauldron Cloud provides tools for managers, developers, and community builders to gain insights into the individuals and workflows associated with open source development, enabling them to track and report on the projects that are of interest to them. Users have the freedom to analyze various open-source platforms, including GitHub, GitLab, and Stack Exchange, allowing for a comprehensive overview of contributor data, duplicate entries, affiliations, and additional metrics. Each Cauldron instance is equipped with 16GB of RAM and 320GB of storage. It facilitates engagement and growth within communities and organizations by offering performance indicators related to development. Users can compare a selection of projects based on specific software development KPIs, receive summaries on chosen metrics, or create custom dashboards and reports tailored to their needs. Additionally, users can configure and obtain their own unique Cauldron Cloud instance. The platform is capable of measuring a wide range of GitHub data such as commits, code alterations, issues, and pull requests, along with similar data from GitLab and comprehensive information from StackExchange, including questions and answers across all its sites like Stack Overflow, Ask Ubuntu, and Super User. This makes Cauldron Cloud an invaluable resource for anyone looking to delve deeper into the dynamics of open source projects.

Amazon CodeGuru is an advanced developer tool that leverages machine learning to offer insightful suggestions for enhancing code quality and pinpointing the most costly lines of code within an application. By seamlessly incorporating Amazon CodeGuru into your current software development processes, you can benefit from integrated code reviews that highlight and optimize costly code segments, ultimately leading to cost savings. Additionally, Amazon CodeGuru Profiler assists developers in identifying the most expensive lines of code, providing detailed visualizations and actionable advice for optimizing performance and reducing expenses. Furthermore, the Amazon CodeGuru Reviewer employs machine learning techniques to detect significant issues and elusive bugs during the development phase, thereby elevating the overall quality of the codebase while facilitating more efficient application development. This powerful combination of tools ensures that developers not only write better code but also maintain a focus on cost efficiency throughout the software lifecycle.

All developers can be found in one place. Find out who contributed code to Bitbucket over the past month, week or day. You can see the stats and dynamics of each developer to find out who has been the most active. You can capture the history of your project as lines of code. Add, delete, and total. All changes to the code made by developers on the project are combined for a bird's-eye view and a new perspective when planning and reviewing retrospectives. You can see the progress of your team and identify bottlenecks. You can choose the metrics that best suit your needs: commits or lines of code added/removed. To see the summaries of commits in a repository, or project, you can look at the hour and day of the week to see when the work was completed. Select the time period for the graph to determine which commits should be counted, whether they were made by one developer or several developers. You can view the calendar listing all contributions made by a given developer in the past year.

Gitcord enables you to monitor and assess your GitHub repositories by offering real-time data and insights through a comprehensive dashboard. It keeps track of commits, pull requests, issues, and contributions across all of your repositories while presenting sophisticated analytics on coding behaviors, language preferences, and productivity patterns. Additionally, it offers insights tailored for teams and organizations to enhance collaboration and manage performance effectively. With its visually appealing contribution graphs and easily shareable profile pages, Gitcord allows you to highlight your activity, while developer leaderboards create an environment of friendly competition, and prompt notifications ensure that everyone stays updated. An integrated activity feed combined with AI-driven recommendations provides clarity to project objectives and enhances planning efficiency. The effortless integration with GitHub allows users to connect any GitHub username for tracking, simplifying the onboarding process for new contributors and encouraging community engagement. This holistic approach not only boosts individual productivity but also strengthens team dynamics and project outcomes.

What is Waydev? Waydev is a Git Analytics tool for engineers and executives that helps them move from feeling-driven to data driven leadership. Waydev analyzes your Git repos and generates reports and insights about engineering performance.

Code Input is a web-based platform tailored for software development teams operating in the evolving landscape shaped by artificial intelligence. With the surge in code production driven by AI technologies, the challenges have transitioned from merely writing code to effectively managing it. Code Input addresses these challenges by offering tools specifically crafted for this new environment, including features like Merge Conflicts and Merge Queues to ensure seamless codebase progression, Insights powered by DORA metrics to gauge essential performance indicators, Workflows to streamline repetitive tasks, and CODEOWNERS to enhance accountability across larger teams. This comprehensive suite of tools empowers teams to adapt and thrive in the complexities of modern software development.

Astronuts is an innovative code review platform powered by AI, aimed at enhancing the development workflow by automating the processes of code reviews and bug corrections. Developers can easily kick off code evaluations with a straightforward command, receiving intelligent, line-by-line feedback and suggestions for automatic fixes. This platform boasts various features, including summaries for pull requests, metrics on code quality, and detailed change logs, all presented within an intuitive interface. By integrating effortlessly with GitHub, Astronuts empowers teams to keep track of pull request sizes and monitor code health metrics, significantly cutting down on the time spent on code reviews while also decreasing the occurrence of bugs. Additionally, the platform facilitates real-time chat for addressing code-related inquiries, offers customizable settings for behavior, and establishes rules to uphold coding standards. Supporting a range of programming languages and build systems, Astronuts is well-equipped to serve various development environments effectively. Moreover, the platform provides a free trial along with $5 in credits, allowing teams to test its features without any upfront investment, making it an attractive option for organizations looking to enhance their coding practices. Overall, Astronuts aims to transform the way development teams approach code quality and efficiency.