Alternatives to Codacy

Increase software development and delivery speed using generative AI assistance with enterprise security and privacy protected. Gemini Code Assist generates code blocks and functions as you type. Code assistance is available for many popular IDEs such as Visual Studio Code and JetBrains IDEs including IntelliJ, PyCharm and GoLand. It also supports 20+ programming language, including JavaScript, Python and C++. You can chat with Gemini Code Assistant using a natural language interface to receive answers to your coding queries or guidance on best coding practices. Chat is available on all supported IDEs. Gemini Code Assist allows enterprises to customize the software by using their own codebases and knowledge bases. Gemini Code Assist allows for large-scale changes in entire codebases.

Codeium is the modern code superpower. It's a free AI-powered code acceleration toolkit. Codeium currently provides AI-generated autocomplete in more than 20 programming languages (including Python and JS, Java, TS, Java and Go) and integrates directly to the developer's IDE (VSCode, JetBrains or Jupyter notebooks. Colab, Vim / Neoovim, etc. Codeium generates multiline code suggestions in a matter of seconds. This will eliminate the need to search for APIs and documentation, write boilerplate and unit test scripts, and many other tedious or frustrating tasks. Codeium is a training platform that allows you to quickly develop on billions of lines. It also helps you stay in the flow and lets you become the best coder you can be.

You know that you could be testing more to catch bugs earlier, but QA testing can take a lot of time, effort and resources to do it right. MuukTest can get growing engineering teams up to 95% coverage of end-to-end tests in just 3 months. Our QA experts create, manage, maintain, and update E2E tests on the MuukTest Platform for your web, API, and mobile apps at record speed. We begin exploratory and negative tests after achieving 100% regression coverage within 8 weeks to uncover bugs and increase coverage. The time you spend on development is reduced by managing your testing frameworks, scripts, libraries and maintenance. We also proactively identify flaky tests and false test results to ensure the accuracy of your tests. Early and frequent testing allows you to detect errors in the early stages your development lifecycle. This reduces the burden of technical debt later on.

Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.

The YAG Suite is a French-made innovative tool that takes SAST to the next level. YAGAAN is a combination of static analysis and machine-learning. It offers customers more than a sourcecode scanner. It also offers a smart suite to support application security audits and security and privacy through DevSecOps design processes. The YAG-Suite supports developers in understanding the vulnerability causes and consequences. It goes beyond traditional vulnerability detection. Its contextual remediation helps them to quickly fix the problem and improve their secure coding skills. YAG-Suite's unique 'code mining' allows for security investigations of unknown applications. It maps all relevant security mechanisms and provides querying capabilities to search out 0-days and other non-automatically detectable risks. PHP, Java and Python are currently supported. Next languages in roadmap are JS, C and C++.

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.

SonarCloud automatically analyzes and decorates pull request branches to maximize your throughput. To prevent undefined behavior from affecting end-users, catch tricky bugs. Security Hotspots will help you identify and fix vulnerabilities that could compromise your app. It takes just a few mouse clicks to get your code up and running. Instant access to the most recent features and enhancements. Project dashboards keep stakeholders and teams informed about code quality and releasability. Show your communities that you care about awesome by displaying project badges. Your entire stack should be concerned about code quality and security. We cover 24 languages, including C++, Java, Python, and many other. Transparency is a good thing and the trend is growing. Join the fun! Open-source projects are completely free!

Codebeat can be used to track every quality change in your Github repositories, Bitbucket, GitLab, or self-hosted repositories. We will get you up and running within seconds. codebeat supports many programming languages and automates code review. It will help you prioritize problems and identify quick wins in both your web and mobile apps. Codebeat is a great tool for managing teams and open-source contributors. You can assign access levels and move people around between projects in seconds. This is ideal for small and large groups.

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.

Streamline Git commands to stack pull requests seamlessly from your terminal. Visually edit and create stacked pull requests without leaving the IDE. Keep track of all PRs and review requests in one inbox. Graphite AI's codebase aware feature provides immediate feedback and actionable suggestions on every pull request. Eliminate merge conflict and keep your main branches green, regardless of whether you have a team with 10 or 10,000 members. Accelerate the team with powerful real-time developer metrics. A faster and more intuitive Git interface designed to make stacking easy. Run gtcreate again to stack a new branch on top of the previous ones without waiting for them merge into the main. Gt sync will automatically sync your local changes with remote ones, and remove stale branches. Modify your stack to update changes. Graphite will handle all recursive rebasing. Create or update PRs on every branch of your stack using gt submit.

Develop healthier code. Improve code quality and workflow. Codecov offers a comprehensive suite of tools that allow you to group, merge and archive coverage reports, as well as compare them. Open source. Plans starting at $10/user per month. Ruby, Python and C++ as well as Javascript are all available. All CI products and workflows can be integrated easily. No setup is required. Automatic report merging for all CI languages and languages into one report. You can get custom statuses for any group of coverage metrics. You can review coverage reports by folder, project, and type (unit tests or integration tests). You can comment the detailed report directly in your pull request. Codecov is SOC 2 Type II Certified. This means that Codecov has been audited by a third party and attested to our security practices.

CodeScene's powerful features go beyond traditional code analysis. Visualize and evaluate all the factors that influence software delivery and quality, not just the code itself. Make informed, data-driven decisions based on CodeScene’s actionable insights and recommendations. CodeScene guides developers and technical leaders to: - Get a holistic overview and evolution of your software system in one single dashboard. - Identify, prioritize, and tackle technical debt based on return on investment. - Maintain a healthy codebase with powerful CodeHealth™ Metrics, spend less time on rework and more time on innovation. - Seamlessly integrate with Pull Requests and editors, get actionable code reviews and refactoring recommendations. - Set Improvement goals and quality gates for teams to work towards while monitoring the progress. - Support retrospectives by identifying areas for improvement. - Benchmark performance against personalized trends. - Understand the social side of the code, measure socio-technical factors like key personnel dependencies, knowledge sharing and inter-team coordination.

Get code reviews on-demand from experts, vetted by AI. Every time you open a Pull Request, senior engineers will be added to your team. AI-assisted code review will help you deliver better, more secure software faster. PullRequest can adapt to the needs of any development team, whether it's 5 or 5,000. Our reviewers help your team find security vulnerabilities, hidden bugs, and fix any performance issues before they are released. All of this can be done using your existing tools. AI analysis enhances the expertise of human reviewers to identify high-risk security areas. Intelligent static analysis using open source tools combined with proprietary AI. Shown to reviewers for greater insights. Save your senior staff time. While other members of your group are busy building, you can make meaningful progress in resolving problems and improving code.

SonarSource creates world-class products to ensure Code Quality and Security. SonarQube, our open-source and commercial code analysis tool - SonarQube -- supports 27 programming languages. This allows dev teams of all sizes to resolve coding issues in their existing workflows.

Astronuts, an AI-powered platform for code review, is designed to streamline development by automating code reviews. Developers can initiate code analyses with a single command and receive line-by-line intelligent comments and auto-fix suggestion. The platform provides features such as code quality metrics, change logs, and pull request summaries. All of these are accessible via a user-friendly GUI. Astronuts integrates seamlessly into GitHub. This allows teams to monitor pull requests batch sizes and code quality metrics, reducing review time and minimizing bugs. The platform offers real-time chats for code-related questions, configurable behavior settings and gateway rules that enforce code quality standards. Astronuts is able to cater to a variety of development environments with its support for multiple languages and build systems. The platform offers $5 in credits as a free trial, allowing teams to try out its benefits without any initial costs.

DeepSource allows you to automatically identify and fix bugs in your code during code reviews. This includes security flaws, anti-patterns and bug risks. It takes less that 5 minutes to create your Bitbucket or GitLab account. It works with Python, Go, Ruby and JavaScript.

Pull request reviews that are privacy-focused and contextual, with code suggestions for each line of code and an interactive chat that becomes smarter over time. The diff in the Pull Request is transformed into a summary that helps you understand the intention of the changes. Creates automated release note, which can be included in the release documentation. A detailed analysis of code changes, line-byline, provides precise and actionable recommendations ready to be committed. Ask the bot questions within your code lines. Provide more context and let it write the code. The more you interact with the bot, it will become smarter. Reduce cycle time by reducing the number of reviews and generating high-quality suggestions for code changes. Your data is kept confidential and used to fine-tune your reviews. The system refines the reviews based on your interactions.

Squire will write the pull request descriptions. Keep your team on the same page with a clear description. Squire's agentic workflow allows a team to review your PR in the context of your entire codebase. It can catch many issues, such as systemic breaking changes or security concerns. We improve code quality, and get your PR in production. Squire is an agent that works with you to review PRs and learn your preferences for code reviews. Squire adapts to your style by learning how your team reviews code. It does this through explicit configurations and learning from the interactions of your team. Map and synchronize responsibility and ownership across your entire engineering stack. Maintain compliance by applying rules to your engineering components.

AI-powered pull requests reviewer with contextual insights, tailored comments, and automated setup in one click. Callstack.ai's PR Reviewer will save you time and reduce error risk by providing automatic summaries of PRs, security and bug checks, as well as performance optimization suggestions. {Automatic PR Summaries Understand code changes quickly with auto-generated summaries and diagram.|Automatic PR summaries Understand code changes faster with automatically generated summaries and diagrams.} {Context-Aware Feedback Callstack.ai aligns with your team's coding standards by understanding the core structure of your code for context-driven insights.|Context-Aware Callstack.ai aligns itself with your team's standards of coding by understanding the core structures of your code to provide context-driven insights.} Customizable Reviews Callstack.ai can be tailored to meet your specific coding standards. {Compatible with Major Programming Languages We currently support repositories written in the following languages: javascript, typescript, python, java, kotlin, php, go, ruby, rust, react & vue.|Compatible with Major Programming Languages Currently, we support repositories in the following languages: ruby, go, rust, javascript, typescript. javascript.}

Ellipsis can review, write, and answer questions about your source codes. Ellipsis uses LLMs to provide thoughtful code reviews, summaries and easy-to accept suggestions. We'll consider your style guide while reviewing. Open an issue and assign it to Ellipsis. This will automate simple changes and bug fixes. You'll receive a pull request in a matter of minutes. Ellipsis can help you ship faster by addressing comments left in pull requests. We'll translate the comments and create tested, working code. Ellipsis does not store or train your source code. It will never commit your default branch and will only open new pull requests or add new commits when you explicitly ask it to.

Engineers can save time by focusing on what they do well, which is creating products. You can create your own patterns and describe how you want to look while reviewing. Trag will do this for you before you get started. Create rules for the use cases of your team. You can create as many rules as you like, and as thoroughly as you wish. Our AI can recover all rules that fail. We never commit directly. You will get PR when the fix is applied. Connect multiple repositories. Multiple repositories are at your fingertips. Invite and collaborate with teammates. Trag will automatically review any PRs that have patterns. Monitor pull request analytics to make better decisions. You can create your own patterns by using natural language. Trag will automatically match the rules with the changes in the PR and fix them. We never commit directly to the code, but only through PRs. We don't use any of your code.

Collaboration with AI and each other is made easy without having to switch between tools. This reduces distractions and context switches. Pullflow synchronizes your user identities and code review activity across GitHub Slack and VS Code. This allows you to communicate naturally across platforms. Take action wherever you are and return to your flow. Pullflow integrates GitHub Actions, external CI/CD tools, GitHub apps and more to give you a single view on your pull request, from the draft stage to the test and deployment phase. Pullflow can take care of your quick actions with a simple chat mention or IDE shortcut. Request review, add/remove label, give feedback, accept, and more without a trip on GitHub.

Embold's intuitive visuals and deep analysis will help you gain a deeper understanding of the software. Visually understand the size and quality each component to fully understand the state and functionality of your software. Rich annotations make it easy to understand issues at the component level and locate them in your code. Navigate through all dependencies and see how they affect each other. Our innovative partitioning algorithms make it easy to quickly understand how to refactor or split complex components. The EMBOLD SCORE is a measure of the impact of four dimensions on how many components are most important to the overall quality and should be resolved first. Our unique anti-patterns allow you to analyze the structural design of your code at the class, functional, or method levels. Embold uses a variety of metrics to assess the quality and reliability of software systems, including cyclomatic complexity and coupling between objects.

Amazon CodeGuru is an intelligent developer tool that uses machine learning to make intelligent recommendations for improving code quality, and identifying the most costly lines of code in an application. Integrate Amazon CodeGuru in your existing software development workflow to get built-in code reviews that will help you identify and optimize the most expensive lines of code to lower costs. Amazon CodeGuru Profiler allows developers to find the most expensive lines in an application's code. It also provides visualizations and suggestions on how to improve code to make it more affordable. Amazon CodeGuru Reviewer uses machine-learning to identify critical issues and difficult-to-find bugs in application development to improve code quality.

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.

Artificial intelligence can simplify code reviews. Costs and productivity will increase. Receive suggestions for possible fixes to errors and warnings. Codara's CLI tool integrates seamlessly into your existing development environment. Use AI to detect issues, suggest optimizations and ensure that your code is clean and efficient. Setup in minutes, review within seconds. Instant feedback that you can act on as you code. Codara's AI will review your work in real time, helping you to catch errors before they escalate. Codara adapts itself to your needs, whether it's in terms of style, complexity or performance. Privacy is of paramount importance. Codara guarantees that your data is always confidential and secure. Codara is scalable to meet your needs and can be used for projects of any size.

Maintain high-quality code while adhering to agile development cycles. Jtest's extensive Java testing tools will ensure that you code flawlessly at every stage of Java software development. Streamline Compliance with Security Standards. Ensure that your Java code conforms to industry security standards. Automated generation of compliance verification documentation Get Quality Software Out Faster Java testing tools can be integrated to detect defects faster and more efficiently. Reduce time and costs by avoiding costly and complicated problems later. Increase your return on unit testing. Create a set of JUnit test suites that are easy to maintain and optimize for code coverage. Smart test execution allows you to get faster feedback from CI as well as within your IDE. Parasoft Jtest integrates seamlessly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback about your testing and compliance progress.

Symbiotic Security revolutionizes cybersecurity by integrating real time detection, remediation and training directly into developers Integrated Development Environments. This approach allows developers to identify and fix vulnerabilities as they develop, fostering a culture of security-conscious development and reducing expensive late-stage fixes. The platform provides contextual remediation suggestions as well as just-in time learning experiences to ensure developers receive targeted training exactly when they need it. Symbiotic Security embeds security measures into the software development process to prevent vulnerabilities and address existing ones. This holistic approach improves code quality, streamlines workflows and eliminates security backlogs while promoting seamless collaboration among development and security teams.

The review process can be accelerated while ensuring high-quality feedback and allowing senior developers to focus on more complex tasks. Your engineers are the most valuable (and costly) resource you have. HOJI helps them focus on their strengths and improve upon them. We do not store, use, or train using your codebase. We only store code reviews snippets as a reference for quality assurance and for your reference. Hoji AI is a powerful AI pipeline that uses GPT-4 as a foundation to intelligently access context.

CodeSandbox aims to make it easier for you to express your ideas with code, and to validate them. It also removes the hassles of setting up development tooling and sharing your project. Join us to help build the future of web coding. Over 4M developers use the platform each month. This includes organizations like Shopify and Atlassian. Since its launch, creators have created over 35M apps. It's used in thousands of open-source projects like React, Vue and Babel. You can invite your friends, colleagues, or team to join you or simply view your creation by using a URL. Use any of 1M+ packages for building real, powerful applications quickly and efficiently. Import and run repos directly from GitHub or choose from hundreds of templates to start in seconds. Boxy, CodeSandbox's AI-powered coding assistant, is now available to all Pro subscriptions.

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.

Metabob detects coding errors created by humans or AI, explains them, and fixes them. Metabob uses proprietary graph neural network to detect problems, and LLMs explain and resolve them. This combines the best of both worlds. GNN detects problematic code and classifies it with contextual understanding. Metabob's backend stores problematic code and context enriched with context. The backend stores the information and passes it to an integrated LLM. The LLM provides context-sensitive explanations and solutions to problems. Metabob's AI has been trained by millions of bug fixes made by experienced developers. Metabob's ability to understand context and code logic allows it to detect complex issues that span multiple codebases, and automatically generate solutions. Metabob's AI code reviews detect hundreds of logical issues, ranging from race conditions to unhandled edges cases. These problems are not detectable by static analysis tools.

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.

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.

Digma integrates with your IDE and uses runtime information to highlight issues, regressions and problems as you code. Identify issues in development by seeing how a function scales up or down in CI and production. Digma helps you to accelerate code changes and avoid regressions by analyzing the code's performance. Digma also provides critical analytics about usage, errors and performance baselines. Understand what's causing your code to slow down and bottleneck. You can fix problems quickly with valuable data, such as code execution time, scaling limitations, or N+1 query issues. When your team integrates Digma in your GitOps cycles, Pull Request feedback and annotation of code becomes much easier. Digma allows you to understand it and begin working on it without fear - no matter what size or complexity it is.

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.

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL and PowerBuilder. It identifies code dependencies to let you modify the code without breaking your application. It also scans your code to detect security flaws, quality, performance and maintenability issues. Identify breaking changes with impact analysis. Scan the code to find security vulnerabilities, bugs and maintenance issues. Integrate continuous code inspection in a CI workflow. Understand the inner workings and document your code with call graphs, code diagrams, CRUD matrices, and object dependency matrices (ODMs). Automatically generate source code documentation in HTML format. Navigate your code with hyperlinks. Compare two pieces of code, databases or entire applications. Improve maintainability. Clean up code. Comply with development standards. Analyze and improve database code performance: Find slow objects and SQL queries, optimize a slow object, a call chain, a slow SQL query, display a query execution plan.

Summary pull request changes in a concise manner to help the team understand their impact. Code quality issues and antipatterns are detected and automatically fixed for 30+ languages. Scan each code change to detect OWASP, NIST, SANS and CWE vulnerabilities and fix them. Scan each PR against more than 10,000 policies to detect and understand infrastructure as code issues. Protects sensitive data in your codebase including API keys, tokens and other secrets. Identify and understand the impact of potential issues in data structures and code logic. Get instant visibility into the health of your code and infrastructure with a Code Health dashboard. Identify issues of high severity, understand their impact and fix them. Receive weekly executive reports about new issues, fixes, and resolutions pending. Your pair programmer will help you to find and automatically fix over 5000+ security vulnerabilities and code quality issues without leaving your IDE.

You can save time and money by finding and fixing problems earlier. You can reduce the time and expense of delivering high quality software by avoiding costly and more complex problems later. Ensure that your C# and VB.NET codes comply with a wide variety of safety and security industry standards. This includes the requirement traceability required and the documentation required for verification. Parasoft's C# tool, Parasoft dotTEST automates a wide range of software quality practices to support your C# or VB.NET development activities. Deep code analysis uncovers reliability issues and security problems. Automated compliance reporting, traceability of requirements, code coverage and code coverage are all key factors in achieving compliance for safety-critical industries and security standards.

DeepCode AI is the backbone of Snyk, and it's why it's also the fastest, most accurate SAST available. DeepCode AI, the AI powering Snyk, uses multiple AI models and is trained using security-specific data. It is then curated by top researchers to give all the benefits of AI without the drawbacks. DeepCode AI from Snyk was created to manage tech debt and find and fix vulnerabilities. It supports 11 languages and has multiple AI models. DeepCode AI is the engine behind Snyk’s one-click app coverage and security fixes. This allows developers to build quickly while remaining secure. DeepCode AI, our specialized AI, is built and refined using training data from open source projects. Never customer data. DeepCode AI uses a hybrid approach that combines multiple models and security-specific learning sets to secure applications.

Codeball is an AI code reviewer that grades pull requests from 0 (needs to be carefully reviewed) to 1. Codeball can be used to add labels that help you focus and auto-approve PRs. Codeball is easy to use and has a set of defaults that are logical. It can be customized to fit your workflow. Label PRs if you need to review them with caution. Keep your eyes open and don't allow bugs to slip through. Identifies, approves, or labels PRs that are safe. Save time by accelerating PRs that can be easily reviewed. GitHub Actions allows for full customization and programming. Codeball Actions consist of multiple smaller building block components that are highly configurable via GitHub Actions. Codeball uses a deep-learning model that was trained on more than 1 million Pull Requests. It considers hundreds inputs for each contribution. Codeball is optimized to be precise, so it only approves contributions it's confident in.

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.

Find your strengths and find ways to overcome bottlenecks. You can gain actionable insights that will improve efficiency and agility at every stage of your DevOps process. Connect data across Jira and Jenkins, GitHub GitLab, Azure DevOps. SonarQube & many other platforms. Software metrics and insights to improve agile velocity, quality and security, as well as data hygiene. You can create custom dashboards that allow you to drill down or roll up details. High-quality products built faster and customer-centric outcomes. Data hygiene and process efficiency can be improved. Create a culture that values collaboration and appreciation. This will increase retention. Monitoring the quality of requirements definitions, acceptance criteria, and agile sprint plans. Automate task reminders and issue routing, reduce unproductive waiting times. Sprint slips provide early warnings about potential risks. Be based on customer impact when making decisions. Reminders sent on a regular basis to speed up PR reviews and merges. Conditionally automate repetitive tasks, reducing cognitive overload.

The all-in one engineering management platform, with metrics, AI insights and developer surveys. Metrics such as DORA, cycle times, and flow. Measure velocity, productivity, and quality. Connect all your tools in your tech stack. Integrations with GitHub Jira CI/CD PagerDuty, and more. Create custom metrics quickly with our metric builder UI. Create dashboards that match the needs of your engineering organization. Understand what needs attention, such as bottlenecks, team issues, best practices etc. Get reports that provide important metrics and insights to your team. Configure reports to keep informed of your team's progress. Understand how much time your team spends on new features, KTLO or unplanned work. Costs of engineering for important client initiatives and work.

Assigning smaller tickets to AI agents will save you time and effort. Tusk helps software developers complete chore tickets as quickly as they think. Tusk iterates automatically on its code changes in order to address any code review left on the pull requests. No good engineer will push code without testing. Tusk runs all your automated tests and checks to ensure the PR is working. We'll save you time even if we can't create pull requests by providing code context to use as a starting point. Tusk will help you avoid being distracted by your PMs about chore tickets. Concentrate your time on fulfilling your work while also raising the standard of your product. Investigating and fixing customer-reported bugs takes time. Tusk can fix them first. We know that you have more important things to do than remove a word from a header, or find and replace a term in multiple files. Tusk can go through your backlog of product quality issues. We'll implement UI/UX improvements that you've neglected for weeks.

Automating pull request summaries can save you valuable developer time. In seconds, you can open a pull request to get a summary about the changes. You can instantly understand the implications of small pull request and get a head start on larger ones. Code reviews take a lot of time. There is often back-and-forth between the author and the reviewer. This is often about minor changes that could easily be automated. Simply comment on the code lines that need to be refactored using /wtd, and then describe the changes you want. With a single click, What The Diff will suggest the changes to your pull request. What The Diff analyzes your pull requests and provides a summary in plain English for you and your team. What The Diff is able to handle almost all programming languages and has been trained with a large data set of code. Try the GitHub app free of charge on one of your repositories.

DryRun Security is based on our experience in training over 10,000 developers and security professionals to test applications for security and build security products at GitHub. Our experience has shown that all current tools lack a critical feature: security context for developers. Every day, developers make code modifications. They need a tool that gives them security context so they can move faster and be safer. Security code reviews are often too late and slow down the development process. Developers need to know the security context as soon as a pull request opens, so that they can understand the impact of code changes. Most security testing was generic, frustrating developers with repeated alerts and inaccurate results.

Augment brings your team's collective expertise--codebases, documentation, and dependencies --to your fingertips through chat, code completions and suggested edits. Augment helps you to stay on track, get more done and remain in the flow. Augment is lightning fast and highly secured. It works in your favorite IDEs, and Slack. Suggestions reflect APIs and coding pattern in your company's software so that your team can use them on your actual work. Fast inference, 3x faster than competitors, built on the latest techniques, including custom GPU Kernels, keeps developers in flow. Our custom AI models tuned to code avoid hallucinations, and improve code quality as well as productivity. Improve the use of internal best practice from your senior engineers. Codebase awareness is important for daily tasks, new developer training, code review and more. Our architecture is designed for tenant isolation and built to protect your IP. It's already SOC-2 Type 1 certified and pen-test verified.

AI can be a powerful tool in the coding process. CodeMind provides insightful suggestions to elevate your code. Use different features in your version control. Get your code reviewed to find bugs and get ideas for how to improve it. To help reviewers better understand your code, you can provide a summary of merge request. Ask for an explanation if you find the code complex. Explain application code and infrastructure code. Managing code reviews is a difficult task. Manually reviewing every line of code can be time-consuming, lead to human errors, and miss out on optimization opportunities. We are here to change this process. Our tool speeds up the review process and frees you up to focus on what really matters: writing great code. Our AI-driven code review tool provides in-depth analysis of code, identifying potential problems that are often missed by manual reviews.

Coco®, a tool for multi-language code coverage, is available. Automated source code instrumentation can be used to measure test coverage for statements, branches, and conditions. When a test suite is run against an instrumented application, data can be collected that can be later analyzed. This analysis can be used for understanding how much of the source code was touched by tests, which additional test suites need to be written, and how the test coverage has changed over time. Identify dead or untested code, redundant tests, and untested code. Identify the impact of a patch and code coverage. Coco supports branch coverage, statement coverage, MC/DC, and other levels. Linux, Windows, RTOS, and other platforms. GCC, Visual Studio and embedded compilers are all available. You can choose from text, HTML, XML and Cobertura report formats. Coco can also integrate with other build, test, and CI frameworks such as JUnit Jenkins, SonarQube, and SonarQube.