Alternatives to Squire AI

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.

Cody is a coding assistant AI that lives inside your editor. It can find, explain and write code. Cody combines Large Language Models (LLMs), Sourcegraph Search, and Sourcegraph Code Intelligence to provide answers and eliminate toil for human programmers. Cody is your programmer friend who has read all the open source code, all the StackOverflow questions, and all the private code of your organization. He will always be there to answer any questions or suggest solutions based on his prior knowledge. Enterprises love Cody because it provides choice for: Any scale - Cody works for developer teams of any size, from startups to the biggest companies in the world. Any code host - Every code host and repository, to give the most accurate context from the largest codebases. Any LLM - Sourcegraph’s interoperability allows Cody to work with what LLM and context sources are best for your organization.

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.

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.}

Qodo, formerly Codium, analyzes your code to find bugs before you release. Qodo maps the behaviors of your code, identifies edge cases and tags anything suspicious. It then generates meaningful and clear unit tests that match the behavior of your code. You can see how your code behaves and how changes to your code affect the rest of the code. Code coverage is broken. Meaningful tests check functionality and give you the confidence to commit. Spend less time writing questionable tests and more time developing features that are useful to your users. Qodo analyzes your code, docstring and comments to suggest tests as you type. You only need to add them to your suite. Qodo focuses on code integrity. It generates tests that help you understand your code, find edge cases and suspicious behavior; and make your code more robust.

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.

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.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Save time by using natural-language search and navigation to navigate your project's codebase. AI can improve debugging efficiency by understanding your application's architecture and quickly identifying and pinpointing any bugs. You can now easily understand code features, processes and relationships with clear, concise explanations. AI agents allow you to customize how you interact with your codebase. You can customize the size of your queries, set accuracy thresholds, and select AI models. This personalization improves communication efficiency and accuracy. GitLoop becomes a tailored assistant to meet the unique needs of each user. Context-Aware AI answers in GitLoop improves AI responses by tailoring them to your repository. This functionality ensures every answer is relevant to your project and adapted for its unique context.

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.

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.

Assign tickets and get high-quality code produced by our global developer community and AI agents. Increase your capacity without increasing engineering headcount. Assign GitStart to any items that you cannot ship. We believe that coding can transform lives, and we're on a mission of growing the future software talent in the world. Select which parts of the repo GitStart may access using our secure git sharing tool. Share only the files you want to share and keep your configuration file locked up. Assign sprint-sized ticket and our LLM Assistant will help you translate your requirements into a fully formed ticket. GitStart only pushes PRs after they have passed internal code and quality assurance checks. You review your repo's work, request any changes necessary, and merge. Once we understand the scope of work and before we begin any work, you can approve or refuse each PR cost estimate.

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-generated summaries, real-time chat and code review can help you improve your code and find bugs faster. AI summaries provide instant context for every pull request. This helps your team save time during code reviews. Instant feedback on each pull request will help you improve code quality and speed up delivery. Use GitHub comments to chat with AI and uncover issues in your code. Set up rules and filters in your code review assistant to get the best results. GitChat can turbocharge your code reviews. Ship faster and improve code quality.

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.

Spend less time on minor requests and bug fixes with Gitya. Your AI-powered GitHub Assistant. Uses advanced AI to automate and manage minor tasks. Automated reviews and responses streamline pull request processes. Label a ticket using Gitya and let our AI handle minor task quickly.

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.

Bito's AI assists developers to dramatically increase their impact. It's a Swiss Army Knife of capabilities that can increase your developer productivity by 10x and save you up to an hour per day. The same models are used in ChatGPT. Bito AI allows you to easily write code, understand syntax and write test cases. It also allows you to explain code, comment code, check security, or explain high-level concepts. It's amazing what we can do for you without you having to search the internet or waste your time on tedious tasks. Talented dev teams are the key to innovation. They bring ideas and concepts to life. Dev teams will be the master masons behind intelligent, scalable software that powers some of humanity's most amazing inventions.

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.

A framework designed specifically to address the challenges of autonomous intelligence. Continue writing software using your language, libraries, APIs and data models. Your own autonomous product that scales and adapts to your development. Automated AI can automate the video creation process by generating, optimizing, and editing content. This reduces manual tasks significantly. Your autonomous system can produce high quality video content by integrating with AI tools such as Luma AI or OpenAI to generate video and scaling text-to speech on Azure. By integrating platforms like YouTube, your autonomous AI can continually improve based upon feedback and engagement metrics. We believe that the best path to AGI lies in orchestrating millions of autonomous systems. We are a small team of passionate researchers and engineers dedicated to building autonomous artificial intelligent. We would love to hear from anyone who finds this interesting.

The most capable AI-powered assistant in software development. Amazon Q agents are able to perform a wide range of tasks autonomously, including implementing features, documenting and testing code, reviewing it, refactoring it, and performing software upgrades. Amazon Q Developer simplifies the entire development lifecycle. Amazon Q Developer is a cloud expert and is available in the console. It can help optimize costs and resources on AWS, provide guidance on best practices for architecture, investigate operational incidents and diagnose and fix networking issues. Amazon Q Developer agents speed up large-scale enterprise workload changes, including.NET migration from Windows to Linux and mainframe application modernization. They also migrate VMware workloads and modernize them, and upgrade Java to reduce costs.

You can quickly write code by translating your comments to code. This example shows how you can quickly create a Plotly Bar chart. You can quickly create entire functions without needing to search for parameters or library methods. This example shows how to load df from AWS bucket in parquet format. CodeSquire will allow you to create SQL queries. All you need to do is provide simple instructions about what you want to pull and join. CodeSquire can help you understand code from another person. Simply ask CodeSquire to explain the function and get your explanation in plain English. CodeSquire can help with complex functions that require multiple logic steps. You can brainstorm with it by starting small and adding more complex features along the way.

gitStream allows you to configure rules that determine how each pull request will be treated based on its content. These rules automatically find and add context tags to pull requests, check for deprecation and find the right reviewer. This practice improves merge efficiency by classifying requests based on the size and complexity of changes. Automating the merge path according to the unique merge conditions makes work flow more efficiently. gitStream provides context to your PRs by adding labels and comments. This context helps your developers make the best decisions on how and when to work. Apply an auto-approve on pull requests that have simple changes, such as minor version updates to internal libraries. Automate change requests by org. Level coding practices such as moving away from deprecated service.

Automate style feedback for all languages that you use and align your code reviews with your team. Just a few clicks and your repository is connected. Our reviews are completed in record time. You can use the default style guides, or modify each tool to suit your team's needs. Auto fixing allows you to correct style mistakes in your team so that you can give feedback. Stickler CI does not keep your code on our servers during a review. Your code is deleted from our servers after the review comments are posted. Each pull request will improve and standardize your code. Your coding standards should be applied consistently to code changes. This will ensure that your team is not disrupted. You can automatically apply style and quality checking tools to ensure that your code is consistent in style and quality. You can either use the defaults, or you can customize linters to meet your existing coding standards.

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.

Use developer bots to get your web application developed without hiring a frontend programmer. Developer bots write clean code and use modern frameworks, libraries and libraries. Second bots can be used by the engineers you hire to continue developing your codebase. Connect a developer robot to an existing project or create a brand new one and watch product development increase dramatically. Developer bots can write code and submit pull requests for your engineers to review before merging. Delivering more web applications to your clients will increase your revenue. Use developer bots to create 80-90% of your application and then use your engineers to finish the remainder. Deliver a modern codebase that is scalable and performant to your customers. Second bots provide features in source code, so you can modify them as you please.

High quality code must be sent. Code can be reviewed, discussed, changed, shared knowledge, and identified defects in SVN, Git and Mercurial, CVS and Perforce. Formal, workflow-based, and quick code reviews can be created. You can assign reviewers from your entire team. Any code review can be turned into a threaded discussion. You can comment on specific source lines, files or entire changesets. Unified views of your code activity allow you to focus on the important things. You can improve code quality by knowing which parts of your codebase have not received sufficient review. A quick overview of review status and who might be preventing reviews. You can access a complete audit trail that includes all code review details down to the history for a particular review. You can customize your Jira Software workflow so that you know when to stop if there is an open review. Upgrade your workflow with Jira Software and Bitbucket Server. Bamboo, Bitbucket Server and hundreds of other developer tools are available.

Your AI pair programmer. GitHub Copilot allows you to get suggestions for entire lines or entire functions from your editor. GitHub Copilot is a program that has been trained on billions upon billions of lines public code. It saves you time and helps you stay focused. GitHub Copilot is now available as a Visual Studio Code Extension. It works on any Visual Studio Code platform, on your computer or in the cloud at GitHub Codespaces. It's easy to use and fast enough that you can type as you type. GitHub Copilot is compatible with a wide range of languages and frameworks. The technical preview works especially well with Python, TypeScript Ruby, Ruby, and Go. However, it can also understand dozens of languages and help you navigate almost any situation. You are always in control with GitHub Copilot. You can choose from a variety of suggestions, accept or reject them, and edit the code manually. GitHub Copilot adapts according to your coding style and makes edits.

You can customize the code review rules sets to match your standards. You can focus on the important things by avoiding bugs that aren't important to you. Code reviews can be performed without worrying about security. Codegrip doesn't store any code during automated code reviews. Keep track of the progress of your project. You can receive pull request notifications and code quality reports in any Slack channel you choose. A dashboard view allows you to manage multiple projects from one place. With the help of simple-to-understand graphs and parameters, you can track the changes in code quality over time. OWASP is a consensus on the most important security risks for web and mobile apps. It provides guidance to developers and security professionals about the most common vulnerabilities found in web applications that are easy to exploit.

Code review doesn’t have to be difficult. Review Board takes the hassle out of code review. This saves you time, money, sanity, and allows you to focus on creating great software. You can review almost anything. You can review code, documents, artwork, and everything in between. There are many more things to your project than code. Documentation, artwork and website designs are all important. A picture is worth a thousand words and can be key to a review. Drag-and-drop images to your review request to instantly make them reviewable. Your team will have the ability to click-and drag anywhere on the image to leave a comment. You'll be able to see their comment along with the relevant portion of the image when they do. Did you make a change to the image? Upload a new revision to view a visual diff. Sometimes, you may have text content that is not in your source tree.

AI can help you develop more secure software and deliver it faster throughout the entire software life cycle. GitLab Duo, an AI-powered assistant built into the GitLab platform is designed to improve software development productivity and collaboration. It offers intelligent code suggestions, assists in refactoring and debugging code, and streamlines work flows by automating repetitive tasks. GitLab Duo supports natural language queries to provide project management and development insight, allowing developers to interact more intuitively with their repositories. GitLab Duo is integrated with popular IDEs such as JetBrains, Neovim and other popular IDEs. This ensures seamless support within developers' preferred environments. GitLab Duo combines AI-driven efficiency and GitLab's robust DevSecOps capabilities to empower teams to deliver high quality software faster and more collaborately.

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.

StepSecurity is the platform for you if you use GitHub Actions to perform CI/CD. Implement network egress and CI/CD security for GitHub Actions runner. Discover CI/CD security risks and GitHub action misconfiguration. Automated pull requests can standardize GitHub Actions CI/CD as code files. Allowlists block egress traffic to prevent SolarWinds or Codecov CI/CD attacks. Instant contextualized insight in network and file events across all workflow runs. Control network egress with granular policies at the job level and default cluster-wide. Many GitHub Actions do not receive maintenance and are therefore risky. These Actions are forked by enterprises, but the ongoing maintenance is costly. StepSecurity can help enterprises reduce risk and save time by allowing them to delegate the review, forking and maintenance of Actions.

Devgen is an assistant for codebase research that makes it easy to read large codebases. Get precise answers with relevant code references to verify the information that you need. Bring GitHub issues directly into your chat. Click on the "Add to Chat" option in the right-click menu of any issue page. The issue will be added for discussion instantly. Access the issue's code and pull requests quickly. Directly in the chat, you can easily draft and discuss possible solutions to the issue. Natural language is a great way to learn about the pull request. Use natural language when reviewing pull requests. Devgen is a AI assistant that analyzes code, issues and pull requests to give you deep insights into your repository. It is available as a Chrome Extension and integrates directly with GitHub. This allows for seamless side-by-side interactions as you work.

A lab for applied AI that builds end-to-end agents. We are building AI teammates to help engineering teams achieve more ambitious goals. Devin is the first AI software developer. Devin is a skilled and tireless teammate who is equally willing to build with you or to complete tasks independently for you to review. Engineers can now focus on solving more interesting problems, and engineering teams can achieve more ambitious goals with Devin. Devin's long-term planning and reasoning skills have advanced to the point that he can plan and execute engineering tasks that require thousands of decisions. Devin can remember relevant context at each step, learn with time, and correct mistakes. We've also equipped Devin with common developer tools including the shell, code editor, and browser within a sandboxed compute environment--everything a human would need to do their work. We've also given Devin the capability to actively collaborate with users.

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.