CodeRabbit 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-

Increase software development and delivery velocity using generative AI assistance, with enterprise security and privacy protection. Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs. Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance. Gemini Code Assist enables large-scale changes to entire codebases.

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!

A state-of-the-art AI that builds better software, cheaper and faster. K.Explorer is an AI powered Code Assistant trained on many millions of private corporate lines of code, for specific domains, and on billions of public and open-source lines of code for general purposes. Its code auto-completion features suggest code completions and entire function bodies as you type or as you search the engine for help. To make development faster and more agile it even supports Natural Language for programmers to get guidance while telling a text story about the code they want to write.

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.

BLACKBOX.AI is a Coding LLM designed to transform the way we build software. By building BLACKBOX.AI, our goal is to: - Accelerate the pace of innovation within companies by making engineers 10X faster in building and releasing products - Accelerate the growth in software engineers around the world and 10X the number of engineers from ~100M to 1B Capabilities: 1. Natural Language to Code 2. Real-Time Knowledge 3. Code Completion 4. VISION 5. Code Commenting 6. Commit Message Generation 7. Chat with your Code Files BLACKBOX is built to answer coding questions and assist you write code faster. Whether you are fixing a bug, building a new feature or refactoring your code, ask BLACKBOX to help. BLACKBOX has real-time knowledge of the world, making it able to answer questions about recent events, technological breakthroughs, product releases, API documentations & more BLACKBOX integrates directly with VSCode to automatically suggests the next lines of code.

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.

Get away from essay writing, Squire writes pull request descriptions for you. Keep your team in sync with a clear description and changelog. With an agentic workflow, Squire has a team reviewing your PR with the full context of your codebase. Able to catch many issues like systemic breaking changes, security concerns, and even small spelling mistakes. We improve code quality and get your PR into production. Squire is a context-aware agent who works with you to write pull request descriptions, review PRs, and learn how you like your code reviewed. Squire learns how your team reviews code and fits your style with explicit configuration and learning from your team's interactions. Map and synchronize ownership and responsibility across your entire engineering stack. Maintain compliance by applying and maintaining rules on your engineering components.

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.

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.

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 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.

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/

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.

Streamline Git commands and seamlessly stack pull requests from your terminal. Create and edit stacked PRs visually without leaving your IDE. Stay on top of every PR and review request in one unified inbox. Get immediate, actionable feedback on every pull request with Graphite's codebase-aware AI. Eliminate merge conflicts and keep your main branch green, whether you're a team of 10 or 10,000. Accelerate your team with powerful, real-time developer metrics. A faster, more intuitive Git interface, designed to make stacking effortless. Run gt create again to stack another branch on top of your previous changes without waiting for them to merge into the main. Automatically sync your local stack with remote changes, and clean up stale branches with gt sync. Update changes across your stack with gt modify. Graphite handles all of the recursive rebasing for you. Create or update PRs for every branch in your stack with gt submit.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Codey accelerates software development with real-time code completion and generation, customizable to a customer’s own codebase. This code generation model supports 20+ coding languages, including Go, Google Standard SQL, Java, Javascript, Python, and Typescript. It enables a wide variety of coding tasks, helping developers to work faster and close skills gaps through: Code completion: Codey suggests the next few lines based on the context of code entered into the prompt. Code generation: Codey generates code based on natural language prompts from a developer. Code chat: Codey lets developers converse with a bot to get help with debugging, documentation, learning new concepts, and other code-related questions.

Supermaven lets you write code 2x faster with AI. Chat with GPT-4o, Claude 3.5 Sonnet, GPT-4, and other leading models. CheckUse hotkeys to quickly view diffs, apply changes, start conversations, and switch models. CheckEasily attach recently edited files to your messages - Supermaven Chat links the model's code responses back to your original code to show diffs and apply changes. CheckFix errors by automatically uploading your code together with compiler diagnostic messages in a single click.

Generate code from your prompts. ChatGPT with contextual awareness can improve the quality of generated code. Identify performance bottlenecks and errors in your code and suggest ways to optimize it. Understand intricate and convoluted code with automatically, helping you to learn faster. Reduce frustration and increase efficiency with the power of AI. Generate detailed documentation in just a few clicks. Your code is never shared or used to train the AI model.

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.

Ask questions or generate code with the context of your codebase for accurate results. This also works with choosing specific folders, online docs, terminal content, files, and more. PearAI can directly code in your files, and allow you to see diffs. Try CMD+I (CTRL+I on Windows). Here, we ask PearAI to help us add error handling and comments. Without writing a single line of code, we were able to make a new feature in an unfamiliar codebase: adding a documentation page to the PearAI landing page. Speed up your development process by seamlessly integrating AI into your workflow. PearAI's goal is to reduce the time it takes for an individual to go from idea to creation. Coding itself is a crucial tool in product development, and we believe that with the advancement of AI, it may drastically change over the coming years. We aim to build the environment that will encompass these changes, both in the short-term and long-term.

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.

Create simple but fully custom and interactive web pages just by chatting with AI. Uses OpenAI's advanced ChatGPT text generation model. Automatically generates appropriate images with stable diffusion if requested. Optional voice interface with leading-edge realistic text-to-speech. Free hosting at user paths, or custom subdomain at padhub.xyz for $1/month. Mock-ups for discussion. Prompts and images with Stable Diffusion. Internal or one-off tools that need some basic custom code. Utility or informational pages. Illustrated creative writing experiments. Finished sites (with some persistence and prompt engineering, and maybe a link to an external stylesheet). Templating to help with generating more attractive pages coming soon. This site lets you create simple web pages with custom content and functionality generated by AI. It integrates the ChatGPT and Stability.ai APIs to facilitate that.

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.

Double is an AI-powered coding assistant inside of VSCode, designed to generate high quality code and assist you with programming tasks. Double is powered by the most capable commercially available LLMs, providing state of the art coding assistance. We will never waste your precious time with inferior models. Get code suggestions in real time as you type in the editor, press Tab to accept a suggestion and incorporate it into your code. The suggestions are personalized to your file's context and style conventions. Double's autocomplete is also handles multi-cursor mode, naming variables, mid-line completions, and automatically imports any relevant functions, variables, and libraries needed to run the code.

Turn specs into code with GPT-4 Turbo; RoboCoder makes programming easier. We integrated GPT-4 Turbo with VS Code’s APIs, to allow it to open and edit files. Get a studio-quality maternity photoshoot by taking a few selfies at home, thanks to a powerful image-generating AI. Collaborate with ChatGPT on a plan, then tell it to "get to work." GPT-4 is smart enough to open files, navigate your codebase, and propose a patch using VS Code's diff tool.

We create a compressed version of your codebase so AI can understand and code with you. Transform your codebase into AI-ready insights. Get smarter, more accurate code suggestions. Experience unlimited potential. If you can dream it, you can now build it. Generate full, functional code that works with your existing project.

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.

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.

YouChat is an AI that can answer general questions, explain things, suggest ideas, translate, summarize text, compose emails, and write code for you. YouChat is powered by artificial intelligence and natural language processing, allowing you to have human-like conversations with it. It is constantly learning from huge amounts of information on the internet, which means it sometimes may get some answers wrong. Its AI is always improving and it will often share sources for my answers.

Our cutting-edge AI is the secret weapon you need, to optimize your development process whether you're writing your first line of code or architecting enterprise-level systems. Become a coding maestro - let CodeAI transform your 'what ifs' into 'what is'. CodeAI is the ultimate sidekick for pioneers who write the future in code. While traditional tools lag behind, CodeAI is the relentless powerhouse that amplifies your programming prowess. CodeAI arms you with the power of artificial intelligence, transforming your thoughts into beautifully written code. It's not just about speed; it's about crafting code that tells a story, a story of innovation. Your code deserves the best test coverage, and CodeAI delivers. With automated unit test generation, you ensure your code's integrity while saving time for what really matters – creating game-changing applications.

StableCode offers a unique way for developers to become more efficient by using three different models to help in their coding. The base model was first trained on a diverse set of programming languages from the stack-dataset (v1.2) from BigCode and then trained further with popular languages like Python, Go, Java, Javascript, C, markdown and C++. In total, we trained our models on 560B tokens of code on our HPC cluster. After the base model had been established, the instruction model was then tuned for specific use cases to help solve complex programming tasks. ~120,000 code instruction/response pairs in Alpaca format were trained on the base model to achieve this result. StableCode is the ideal building block for those wanting to learn more about coding, and the long-context window model is the perfect assistant to ensure single and multiple-line autocomplete suggestions are available for the user. This model is built to handle a lot more code at once.

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.

Spend time reviewing code generated by AI, not writing it. Sweep generates repository-level code at your command. Cut down your dev time on mundane tasks, like tests, documentation, and refactoring. Review all changes by Sweep, directly in Github, and comment if any changes need to be made. Push the commit if all looks good. All you have to do is write a ticket, and Sweep will do all of the heavy-lifting for you, allowing you to focus on the more important engineering problems.