Squire AI Alternatives

Cody is an AI coding assistant that uses search and codebase context to help you write code faster. Cody brings autocomplete, chat, and commands to your IDE, so you can generate code, write unit tests, create docs, and explain complex code using AI. Choose from the latest LLMs, including GPT-4o and Claude 3 Sonnet. Features: 🤖 AI-powered chat for your code: Cody helps unblock you when you’re jumping into new projects, trying to understand legacy code, or taking on tricky problems. ✨ Code faster with autocomplete: Cody autocompletes single lines or whole functions in any programming language, configuration file, or documentation. 🧪 Run custom and pre-built commands: Generate, test, and fix code with one-

Codeium is a free AI-powered coding assistant that accelerates development by providing intelligent code autocompletion in over 70 programming languages and more than 40 IDEs, including VSCode, JetBrains, and Jupyter Notebooks. With Codeium, developers can write code faster, eliminate repetitive tasks, and stay in the flow state—whether they're working with Python, JavaScript, C++, or any other language. Built on billions of lines of open-source code, Codeium understands and anticipates your coding needs, offering multiline suggestions, automated unit tests, and even natural language explanations for complex functions. It’s perfect for streamlining code writing, reducing boilerplate, and cutting down the time spent on documentation searches. Trusted by individual developers and Fortune 500 companies alike, Codeium is your go-to solution for boosting productivity and writing better code. Try Codeium for free today and experience the future of AI-powered coding!

CodiumAI analyzes your code and generates meaningful tests to catch bugs before you ship. CodiumAI maps your code’s behaviors, surfaces edge cases, and tags anything that looks suspicious. Then, it generates clear and meaningful unit tests that match how your code behaves. Get full visibility of how your code behaves, and how the changes you make affect the rest of your code. Code coverage is broken. Meaningful tests actually check functionality, giving you the confidence needed to commit. Spend fewer hours writing questionable test cases, and more time developing useful features for your users. By analyzing your code, docstring, and comments, CodiumAI suggests tests as you type. All you have to do is add them to your suite. CodiumAI is focused on code integrity: generating tests that help you understand how your code behaves; finding edge cases and suspicious behaviors; and making your code more robust.

Privacy-focused, contextual pull request reviews with line-by-line code suggestions and interactive chat that gets smarter over time. The diff in the pull request is transformed into a clear summary, helping you understand the intent of the changes. Creates automated release notes, convenient for inclusion in the release documentation. A detailed, line-by-line analysis of the code changes provides precise and actionable suggestions ready to be committed. Ask questions to the bot within your code lines, provide more context, and have it write the code. The more you chat with the bot, the smarter it will become. Shorten cycle time with faster review feedback and high-quality code change suggestions. Your data stays confidential and solely fine-tunes your reviews. The system learns from your interactions, refining the reviews to align with your preferences.

Empower engineering teams to save time and focus on what they do best, which is building products. Create your own patterns, and describe what you will look like while reviewing, Trag will do it before you jump in. Create rules for your use cases for your team, as many as you want, as thorough as you want. Monitor the progress, all the failing rules can be recovered by our AI. We never commit directly, you will get PR with the fix. Connect multiple repositories, multiple repositories at your hand. Invite and collaborate with your teammates. Trag will automatically review PRs with written patterns. Monitor pull request analytics and make faster, better decisions. Write your own patterns using natural language. Trag will automatically match rules with the PR changes and will automatically fix them. Every single piece of data is encrypted and secure, we never commit directly, only through PRs, and we don't use your code for any development purposes.

Ellipsis is capable of reviewing, writing, and answering questions about your source code. Ellipsis uses LLM's to leave thoughtful code reviews, summaries, and easy-to-accept suggestions. We'll even consider your style guide when reviewing. Automate bug fixes and simple changes by opening an issue and assigning it to Ellipsis. Ship faster by having Ellipsis address comments left on pull requests. We'll interpret the comments and write tested, working code. Ellipsis doesn't store or train on your source code. It will never commit to your default branch, and will only add new commits or open new pull requests when you explicitly request it. Create multi-file code changes from natural language requirements, such as bug reports or feature requests. Answer questions about a codebase during onboarding, development, and bug triaging.

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/

Collaborate with each other and AI in the most natural way without leaving your favorite tools - minimizing distraction and context switching. Pullflow synchronizes user identities and code-review activity across GitHub, Slack, and VS Code, enabling you to converse naturally across platforms. Take action from wherever you are, and return to your flow. Pullflow integrates with GitHub Actions, external CI/CD, GitHub apps, and more, to bring you a single view of your pull request from draft and review to test and deploy. Let Pullflow take care of quick actions for you with just a chat mention or IDE keyboard shortcut. Request review, add/remove labels, give feedback, approve, and more, without a trip to GitHub.

Speeding up the review process but ensuring consistent, high-quality feedback, freeing senior developers for more complex tasks. Your engineers are your most valuable (and expensive) resource. HOJI AI helps them focus on what they do best, and do it even better. We do not use, store, or train on your codebase. We only store code review snippets for your reference and quality assurance purposes. Hoji AI uses a powerful AI pipeline built on top of GPT-4 to intelligently access context in ways GPT alone cannot.

Get on-demand code reviews from vetted, expert engineers enhanced by AI. Add senior engineers to your team every time you open a pull request. Ship better, more secure code faster with AI-assisted code reviews. Whether you're a development team of 5 or 5,000, PullRequest will supercharge your existing code review process and adapt to your needs. Our reviewers will help your team catch security vulnerabilities, find hidden bugs, and fix performance issues before they reach production. All of this is done within your existing tools. Expert human reviewers enhanced by an AI analysis to pinpoint high-risk security hotspots. Intelligent static analysis combining open source tools and proprietary AI shown to reviewers for deeper insights. Save your senior staff some time. Make meaningful progress resolving issues and improving code while other members of your team are busy building.

Simplify code reviews with artificial intelligence. Increase productivity and decrease cost. Receive suggestions and potential fixes for errors and warnings. Codara’s CLI tool fits smoothly into your existing development environment. Set up in minutes, review in seconds, harness the power of AI to detect potential issues, suggest optimizations, and ensure your code is clean and efficient. Get instant, actionable feedback as you code. Codara’s AI reviews your work in real-time, helping you catch errors before they escalate. Whether it’s style, complexity, or performance, Codara adapts to your needs. Your code’s privacy is paramount. Codara ensures your data remains confidential and secure at all times. Built for projects of all sizes, Codara scales with your needs, ensuring consistent performance.

Save time and effort by assigning smaller tickets to an AI agent. Tusk helps software engineers complete chore tickets at the speed of thought. Tusk automatically iterates on its code changes to address any code reviews left on the pull request. No good engineer pushes code without testing. Tusk runs your automated checks and tests to make sure the PR works. If we can’t create a pull request, we’ll still save you time by providing code context as a jumping-off point. With Tusk, you can avoid getting distracted by your PMs over chore tickets. Focus your time on fulfilling work, while also raising the bar on your product. Customer-reported bugs can be time-consuming to investigate and tackle. Let Tusk have the first pass at fixing them. We know you have better things to do than removing a word in a header or finding and replacing a term across multiple files. Have Tusk go through your product quality backlog. We'll implement the UI/UX changes that you've been neglecting for weeks.

Codeball is a code review AI that scores pull requests on a grade from 0 (needs careful review) to 1. Use Codeball to add labels to help you focus, auto-approve PRs, and more. The Codeball action is easy to use (sane defaults) and is highly customizable to fit your workflow when needed. Label PRs when you should review them with caution. Stay sharp, don't let the bugs pass through. Identifies and approves or labels safe PRs. Save time by fast-tracking PRs that are easy to review. Fully customizable and programmable with GitHub Actions. Codeball Actions are built on multiple smaller building blocks, that are heavily configurable through GitHub Actions. Codeball uses a deep learning model that has been trained on over 1 million Pull Requests. For each contribution, it considers hundreds of inputs. Codeball is optimized for precision, which means it only approves contributions that it's really confident in.

CodeScene is a code analysis, visualization, and reporting tool. Cross reference contextual factors such as code quality, team dynamics, and delivery output to get actionable insights to effectively reduce technical debt and deliver better code quality. We enable software development teams to make confident, data-driven decisions that fuel performance and developer productivity. Supporting 28+ programming languages, CodeScene also offers an automated integration with GitHub, BitBucket, Azure DevOps or GitLab pull requests to incorporate the analysis results into existing delivery workflows. Automate your code reviews, get early warnings and recommendations about complex code before merging it to the main branch and set quality gates to trigger in case your code health declines.

SonarSource builds world-class products for Code Quality and Security. Our open-source and commercial code analyzer - SonarQube - supports 27 programming languages, empowering dev teams of all sizes to solve coding issues within their existing workflows. We embrace progress - whether it's multi-language applications, teams composed of different backgrounds or a workflow that's a mix of modern and legacy, SonarQube has you covered. SonarQube fits with your existing tools and proactively raises a hand when the quality or security of your codebase is at risk. SonarQube can analyze branches of your repo, and notify you directly in your Pull Requests! Our mission is to empower developers first and grow an open community around code quality and code security. Jenkins, Azure DevOps server and many others. Thousands of automated Static Code Analysis rules, protecting your app on multiple fronts, and guiding your team.

CodeSandbox is a cloud development platform that empowers development teams to code, collaborate, and ship projects of any size from any device in record time. Run your code in powerful microVMs and build anything without limits. We configure your environment for you and keep your code always ready, behind a URL. Boxy, the CodeSandbox AI coding assistant, is also now available to all Pro subscribers.

Save costly developer time by automating pull request summaries. Open a pull request and get a summary of the changes in seconds. Instantly understand the implications of small pull requests and get a huge headstart on big ones. A lot of time is spent on code reviews with back and forth between the reviewer and the author - often about minor changes that could be done automatically. Just comment on the lines of code that should be refactored with /wtd and describe the changes that you want. What The Diff will then suggest the changes in the pull request and you can accept them with a single click. What The Diff analyzes the changes of your pull requests and gives you and your team a summary of all the changes in plain english – no need to do this yourself. What The Diff has been trained with a huge data set of code and supports nearly all programming languages. Install the GitHub app for free and give it a try it on one of your repositories.

Save precious development time by using natural language to effortlessly search and navigate through your project's codebase. Enhance debugging efficiency with AI that understands your application's architecture, swiftly identifying and pinpointing bugs. Get clear, concise explanations of code features, processes, and relationships, making project onboarding easier than ever. AI agents allows you to customize your interactions with your codebase. You can adjust query size, set accuracy thresholds and select AI models. This personalization enhances communication efficiency and accuracy, making GitLoop a tailored assistant for each user's unique needs. The Context-Aware AI Answers in GitLoop enhances the AI's responses by tailoring them specifically to your repository. This functionality ensures that every answer is relevant and adapted to the unique context of your project.

Experience the power of AI in your coding process. CodeMind offers insightful suggestions that will elevate your code to new heights. Use different features from your version control. Get your code reviewed, catch bugs, and get ideas on how you can improve the code. Get a summary of merge requests to help reviewers better review your code. While you are reviewing, if the code looks complex, ask for an explanation. Explain application code, infrastructure code, and complex regex. Managing code reviews can be a challenging task. Manually reviewing each line of code is time-consuming, prone to human error, and might overlook potential optimization opportunities. We're here to transform this process. Our tool expedites the review process, freeing up your valuable time for what truly matters, writing great code. Our AI-driven tool offers in-depth code review, identifying potential issues that can be missed during manual reviews.

DryRun Security has been built from our experience training 10,000+ developers and security professionals in application security testing and building security products at GitHub and Signal Sciences. From our experience, one thing is missing from all tools on the market today: security context for developers. Developers make code changes all day, every day. They need a security tool that provides security context to help them move faster and safer. Security code reviews often slow down the development team and happen too late in the development pipeline. Developers need security context right when a pull request is opened, so they can know the impact of the code change that's getting merged. Until now, most security testing has taken a generic approach that frustrates developers with repetitive alerts or inaccurate results.

Using runtime information, Digma integrates into your IDE to continuously highlight issues, regressions, and problems, as you code. Immediately see how any function scales in CI or production and spot issues while still in development. Accelerate code changes and avoid endless regressions, by analyzing how the code performs, Digma provides critical analytics on usage, errors, and performance baselines to make sense of forgotten code and ownerless libraries. Immediately understand what’s causing bottlenecks and slowdowns in your code. With valuable data such as code execution times, scaling limitations, and N+1 query issues – you can quickly fix it. Pull Request feedback and code review annotation get way easier when your team integrates Digma into your GitOps cycle. Digma lets you understand it and start working on it fearlessly – no matter how large or complex.

Suggestions reflect the APIs and coding patterns in your company’s code so your team can use it on your actual day to day work. Fast inference – 3x faster than competitors – built on state-of-the-art techniques, including custom GPU kernels, keeps developers in the flow. Our custom AI models tuned for code avoid frustrating hallucinations and improve code quality not just productivity. Improve use of internal best practices from your senior engineers, codebase awareness in daily tasks, new developer onboarding, code review, and more. Designed for tenant isolation, our architecture is built to protect your IP, already SOC-2 Type 1 compliant, and pen-test validated.

Assign tickets, and get high-quality production code powered by AI agents and our global developer community. Increase your capacity without increasing the engineering headcount. If you have more items on your plate than the capacity to ship them, assign them to GitStart. We believe coding can change lives and we are on a mission to grow the world's future software talent. Select which parts of your repo GitStart can access with our secure git-sharing tool. Share only what you want at all times, and keep your configuration file under your lock and key. Assign sprint-sized tickets and our LLM assistant will help you translate requirements into a fully-formed ticket. No one likes long review cycles, so GitStart pushes PRs that have been through internal code and QA checks. You review the work in your repo, request any necessary changes, and merge. You can approve or reject each PR cost estimate once we've understood the scope and before we start any work.

Metabob detects, explains, and fixes coding problems created by humans and AI. Metabob utilizes proprietary graph neural networks to detect problems and LLMs to explain and resolve them, combining the best of both worlds. GNN detects and classifies problematic code with contextual understanding. Problematic code along with enriched context is stored in Metabob's backend. The stored information from the backend is passed to an integrated LLM. The LLM generates a context-sensitive problem explanation and resolution. Metabob's AI is trained on millions of bug fixes performed by experienced developers. The ability to understand code logic and context, enables Metabob to detect complex problems that span across codebases and automatically generate fixes for them. Metabob's AI code review detects hundreds of logical problems, varying from race conditions to unhandled edge cases. Such problems cannot be detected with traditional static analysis tools.

Improve your code and catch bugs faster with AI-generated summaries and real-time chat. Get instant context with AI summaries on every pull request, helping your team save time on code reviews. Enhance code quality and ship faster with instant, actionable feedback on every pull request. Use GitHub Pull Request Comments to chat with AI to uncover issues and get instant feedback on your code. Customize your code review assistant by setting up rules and filters to meet your team's needs and get optimal results. Supercharge your code reviews with GitChat. Improve your code quality and ship products faster.

Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day.

Leverages advanced AI to manage and automate minor tasks. Streamlines pull request processes with automated reviews and responses. Simply label a ticket with Gitya, and let our AI handle minor tasks swiftly. Seamlessly integrates with your existing GitHub workflow.

Bito's AI helps developers dramatically accelerate their impact. It's a Swiss Army knife of capabilities that can 10x your developer productivity and save you an hour a day, using the same models as ChatGPT! Bito AI makes it easy to write code, understand syntax, write test cases, explain code, comment on code, check security, and even explain high-level concepts. Trained on billions of lines of code and millions of documents, it's pretty incredible what we can help you do without having to search the web or waste time on tedious stuff. We believe that the future of innovation lies in the hands of talented dev teams that bring concepts and ideas to life. From handling huge data sets to flying cars to web3, dev teams will be the master masons behind intelligent software that powers mankind’s greatest inventions.

Summarize pull request changes concisely to help the team quickly understand their impact. Detect and auto-fix code quality issues and anti-patterns for 30+ languages. Scan every code change for OWASP, CWE, SANS, and NIST vulnerabilities, and fix them. Scan every PR against over 10,000 policies to detect infrastructure as code issues and understand their impact. Identifies and protects sensitive information in your codebase, including API keys, tokens, and other secrets. Identify potential issues in code logic, and data structures, and understand their impact. Get a Code Health Dashboard and gain instant visibility into your code and infrastructure's health. Identify high-severity issues, understand their impact, and fix them. Receive weekly executive reports on new issues found, fixed, and pending resolution. Your pair programmer that will help you find and auto-fix over 5000+ code quality issues and security vulnerabilities without leaving the IDE.

gitStream lets you configure rules that decide how each pull request is treated based on the content of the code. These rules automatically find the right reviewer, check for deprecation, add context tags, and much more. The practice of improving merge efficiency by classifying pull requests based on change size and complexity. Automating the merge path based on the unique merge conditions allows work to flow more efficiently. gitStream adds context to your PRs with labels and comments. This added context empowers your developers to make the best decisions about how and when to work. Speed up time to merge by applying an auto-approve check on pull requests with simple changes like minor version updates of internal libraries. Automate change requests based on org. level coding practices like moving away from deprecated services.

Quickly write code by translating your comments into code, like in this example where we quickly create a Plotly bar chart. Create entire functions with ease, without searching for library methods and parameters. In this example, we created a function that loads df to AWS bucket in parquet format. Write SQL queries by providing CodeSquire with simple instructions on what you want to pull, join, and group by, like in the following example where we are trying to determine the top 10 most common names. CodeSquire can even help you understand someone else’s code, just ask to explain the function above, and get your explanation in plain text. CodeSquire can help you create complex functions that involve several logic steps. Brainstorm with it by starting simple and adding more complex features as you go.

Align your team's code reviews with automatic style feedback, for all the languages you use, all in one place. Connecting your repository is a couple of clicks away and our reviews finish in record time. Use the default style guides or customize each tool to fit your team's tastes. Use auto fixing to correct your team's style errors so you can focus on feedback. Stickler CI only keeps your code on our servers for the duration of a review. After the comments for a review are posted your code is removed from our servers. Incrementally improve and standardize the quality of your code in each pull request. Ensure your coding standards are applied consistently as code changes without having to disrupt your team. Make sure your code quality and style are standardized by automatically applying style and quality checking tools. Either use the defaults or customize linters to fit your existing coding standards.

Use developer bots to jumpstart your web application development without hiring a frontend engineer. Developer bots use modern frameworks and libraries, and write clean source code. The engineers that you eventually hire can continue building upon your codebase alongside a Second bot. Connect a developer bot to an existing project, or create a new one, and see a significant boost in product development. Developer bots write code and raise pull requests that your engineers can review before merging them in. Increase your revenue by delivering more web applications for your clients. Use developer bots to build 80-90% of the application, and use your engineers on staff to finish the rest. Deliver a modern, scalable, and performant codebase to your customers. Second bots deliver features as source code so that you have the flexibility to modify those features as you see fit.

Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor. Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused. GitHub Copilot is available today as a Visual Studio Code extension. It works wherever Visual Studio Code works — on your machine or in the cloud on GitHub Codespaces. And it’s fast enough to use as you type. GitHub Copilot works with a broad set of frameworks and languages. The technical preview does especially well for Python, JavaScript, TypeScript, Ruby, and Go, but it understands dozens of languages and can help you find your way around almost anything. With GitHub Copilot, you’re always in charge. You can cycle through alternative suggestions, choose which to accept or reject, and manually edit suggested code. GitHub Copilot adapts to the edits you make, matching your coding style.

Ship high quality code. Review code, discuss changes, share knowledge, and identify defects across SVN, Git, Mercurial, CVS, and Perforce. Create formal, workflow-based, or quick code reviews and assign reviewers from across your team. Turn any code review into a threaded discussion and comment on specific source lines, files, or an entire changeset. Take action on what's important with unified views into your code activity for commits, reviews, and comments. Improve code quality with data on which parts of your codebase have not been sufficiently reviewed. Get a quick view of review status and who might be holding up reviews. Access a complete audit trail with all code review details, down to the history of a specific review. Customize your Jira Software workflow to stop if there are any open reviews. Upgrade your workflow with Jira Software, Bitbucket Server, Bamboo and hundreds of other developer tools.

Customize the code review rule sets to align with the standards you want to follow. Automatically avoid bugs that are not important to you so that you can concentrate on what matters. Perform code reviews without worrying about the security of your code. Codegrip does not store any of your code while performing automated code reviews. Always stay updated about the progress of your project. Get code quality reports and pull request notifications automatically in a Slack channel of your choice. Manage multiple projects with a dashboard view that provides all information in one place. Track the improvement in code quality over time with the help of easy-to-understand parameters and graphs. OWASP represents a broad consensus about the most critical security risks to web and mobile applications. It also guides developers and security professionals on the most critical vulnerabilities that are commonly found in web applications, which are also easy to exploit.

Code review doesn't have to be so hard. Review Board takes the pain out of code review, saving you time, money, and sanity so you can focus on making great software. You can review just about anything. Code, documents, artwork, you name it! There's more to your project than just code. Documentation, artwork, website designs, interface mockups, release announcements, feature specifications, and the list goes on. A picture paints a thousand words, and can be key in a review. Drag-and-drop one or more images onto your review request to make them instantly reviewable. Your team will be able to click-and-drag anywhere on the image and leave a comment. When they do, you'll see their comment right along with that portion of the image. Made a tweak to the image? Just upload a new revision and view a visual diff of the changes through one of our many image diff modes. Sometimes you'll have other text content that's not part of your source tree.

If you are using GitHub Actions for CI/CD and are worried about the security of CI/CD pipelines, StepSecurity platform is for you. Implement network egress control and CI/CD infrastructure security for GitHub Actions runners. Discover CI/CD risks and GitHub Actions security misconfiguration. Standardize GitHub Actions CI/CD pipeline as code files by automated pull requests. Provides runtime security to help you prevent SolarWinds and Codecov CI/CD security attacks by blocking egress traffic with an allowlist. Instant contextualized insight into network and file events for all workflow runs. Control network egress traffic with granular job-level and default cluster-wide policies. Many GitHub Actions are not maintained and are risky. Enterprises fork such Actions, but ongoing maintenance is expensive. By offloading the tasks of reviewing, forking, and maintaining Actions to StepSecurity, enterprises can realize substantial risk reduction and time savings.

Point Sourcegraph at the repositories you work with, stored in any code host, or search across the open source universe. Get answers quickly with literal, structural, and regular expression search, along with smart filters and Code Intelligence. Connect all your other tools to get things like test coverage, 1-click open file in editor, custom highlighting, and information from your other favorite services all in one place with extensions. Create living documentation with Markdown and live code queries to get engineers up to speed on unfamiliar code faster. Navigate through complex parts of your codebase or resolve incidents with collaborative and shareable notebooks. Embed notebooks anywhere you can embed HTML, like your own internal documentation, so you can spend less time updating stale docs. Search across every repository and code host to get to know the repository structure and learn from other developers' code.

DeepCode AI has always been the backbone of Snyk code, which is why it's the fastest, most accurate SAST on the market. DeepCode AI, powering the Snyk platform, utilizes multiple AI models, is trained on security-specific data, and is all curated by top security researchers to give you all the power of AI without any of the drawbacks. With 11 supported languages, and multiple AI models, Snyk's DeepCode AI was designed to find and fix vulnerabilities and manage tech debt. DeepCode AI powers Snyk's one-click security fixes and comprehensive app coverage, letting developers build fast while staying secure. Our specialized DeepCode AI is built and refined by top-tier researchers that use training data from millions of open source projects, never customer data. DeepCode AI's hybrid approach uses multiple models and security-specific training sets for one purpose, to secure applications.

An applied AI lab building end-to-end software agents. We’re building collaborative AI teammates that enable engineering teams to strive for more ambitious goals. We’re the makers of Devin, the first AI software engineer. Devin is a tireless, skilled teammate, equally ready to build alongside you or independently complete tasks for you to review. With Devin, engineers can focus on more interesting problems and engineering teams can strive for more ambitious goals. With our advances in long-term reasoning and planning, Devin can plan and execute complex engineering tasks requiring thousands of decisions. Devin can recall relevant context at every step, learn over time, and fix 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. Finally, we’ve given Devin the ability to actively collaborate with the user.

Amazon CodeGuru is a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. Integrate Amazon CodeGuru into your existing software development workflow where you will experience built-in code reviews to detect and optimize the expensive lines of code to reduce costs. Amazon CodeGuru Profiler helps developers find an application’s most expensive lines of code along with specific visualizations and recommendations on how to improve code to save money. Amazon CodeGuru Reviewer uses machine learning to identify critical issues and hard-to-find bugs during application development to improve code quality.

Get a glance at code quality for the whole project, recent commits, and the most problematic files. CodeFactor will track new and fixed issues for every commit and pull request. CodeFactor will try to show the most critical issues first based on issue code size, file change frequency, and file size so you can start fixing only what's important. Create and track issues or comments directly from code files or project issues pages. CodeFactor will update the status for GitHub or Bitbucket pull requests as well. CodeFactor allows you to toggle inspection for any repository branch on the fly. CodeFactor integrates with Slack to send code quality notifications for every commit in a branch or pull request. To install, go to the repository settings page. Straightforward pricing based on private repository number. Plain and simple with no hidden fees. Seamless integration into your workflow.

Helix Swarm is a web-based, free code review tool for Helix Core. Using Helix Swarm keeps your projects moving forward at speed — while sticking to organizational processes. It unites teams to do more effective code reviews. Contributors share files, comment, suggest tasks, vote up or down, and submit final work within this code review tool. Plus, Helix Swarm streamlines the entire peer code review process. You’ll be able to make sure the right code gets reviewed by the right people — on time. This makes your code reviews more effective — and improves the quality of your next release.

Customize and Scale Your Peer Review Process for Code and Documents With Collaborator. Collaborator is the premier peer code & document review tool for development teams that take software quality seriously. Comprehensive Review Capabilities – Review source code, design docs, requirements, user stories, test plans, and documentation in one tool. Proof of Review – Ensure proof with electronic signatures & detailed reports to meet regulatory compliance standards. Support for 11 SCMs, including Git, SVN, TFS, Perforce, CVS, ClearCase, RTC, & more. Integrations with GitHub, GitLab, Bitbucket, Jira, Eclipse, Visual Studio, & more. Real-Time Updates. Threaded chat shows conversations as well as highlights changes & defects for visibility during each code review. Each team and project has unique requirements. Why would the same type of review work for everything? With custom review templates and checklists in Collaborator, it is easy to build peer review frameworks.

Quickly identify cross-code dependencies and navigate between files and folders. With insights to improve your understanding of the codebase and guide onboarding, planning, and reviews. Auto-generated, self-updating software architecture diagrams that sync to the codebase as your code evolves. With features to help you understand how files and folders are connected, see how a change fits into the larger architecture, and more. CodeSee Maps are automatically generated and updated every time a code change is merged, so you never have to worry about manually refreshing your Map. Using the Maps Insights panel, you can quickly visualize the most active areas of the codebase and get details on individual files and folders, including their age and how many lines of code they represent. Create visual walkthroughs of your code, using Tours to communicate ideal code paths, user flows, and more—and Tour Alerts will help you to ensure your Tours are always up to date.

The ultimate tool to help Node.js developers secure their custom code. Developers are 4x more likely to fix issues before code is checked in. Reshift makes shifting security left seamless with security bug detection and remediation at compile time. A security tool that works with your developers, without slowing them down. Reshift integrates with the developers’ IDE so security issues are found in real-time and fixed before the code is merged. New to security? Reshift makes it easy to build code security into your pipeline for the first time. A tool built for growing software companies looking to level up their security. Not a security expert? Reshift is made for SMB’s, making it easy to set up with no need for security expertise. Improve code security, while learning about secure code.Reshift provides rich content and best practices, so developers learn about security while writing code.

Automate your workflow, let Upsource analyze your code and track the progress, while you focus on improvements. Participate in discussions and manage your reviews without leaving the comfort of your IDE. Explore new changes in the browser with IDE-like navigation, reply by email, and never miss an important change. Discuss changes, @mention others, react to comments, and unlock achievements as you discover new features and help your teammates! Easily make Upsource part of your process, integrate it with issue trackers, CI servers, and sync with GitHub. Don’t worry about outgrowing Upsource! No matter how large your team becomes or how many projects you have, Upsource can handle it. Whether you're looking for a code review tool, insight into your projects' history, or a place to collaborate or expand your developer expertise, Upsource has got you covered!

DeepSource helps you automatically find and fix issues in your code during code reviews, such as bug risks, anti-patterns, performance issues, and security flaws. It takes less than 5 minutes to set up with your Bitbucket, GitHub, or GitLab account. It works for Python, Go, Ruby, and JavaScript. DeepSource covers all major programming languages, Infrastructure-as-Code, secrets detection, code coverage, and more. You won't need any other tool to protect your code. Start building with the most sophisticated static analysis platform for your workflow and prevent bugs before they end up in production. Largest collection of static analysis rules in the industry. Your team's central hub to track and take action on code health. Put code formatting on autopilot. Never let your CI break on style violations. Automatically generates and applies fixes for issues in a couple of clicks.

It brings communities together — regardless of their choice of tools — by making it easy to share code, bug reports, translations and ideas across projects. With Launchpad, you can share bug reports, statuses, patches and comments across project boundaries. You can even share bug data with other trackers, such as Bugzilla and Trac. There's also everything else you need in a bug tracker: web, email and API interfaces, links between bugs and fixes, team-based delegation and more. When they're ready, they can upload their branch to Launchpad and propose it for merging back into your trunk. Code review — by web and email — gives you a public forum to discuss and approve or reject the merge. Launchpad makes translation easy for everyone. Translators get a simple web interface, with automatic suggestions from a library of more than 16 million strings.