HOJI 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-

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!

GitGuardian is a code security platform that provides solutions for DevOps generation. A leader in the market of secrets detection and remediation, its solutions are already used by hundreds of thousands of developers. GitGuardian helps developers, cloud operation, security, and compliance professionals secure software development and define and enforce policies consistently and globally across all systems. GitGuardian solutions monitor public and private repositories in real-time, detect secrets, sensitive files, IaC misconfigurations, and alert to allow investigation and quick remediation. Additionally, GitGuardian's Honeytoken module exposes decoy resources like AWS credentials, increasing the odds of catching intrusion in the software delivery pipeline. GitGuardian is trusted by leading companies, including 66 degrees, Snowflake, Orange, Iress, Maven Wave, DataDog, and PayFit. Used by more than 300K developers, it ranks #1 in the security category on GitHub Marketplace.

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.

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.

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.

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.

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.

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.

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.

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.

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/

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress.

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.

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.

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.

Never let onboarding, knowledge silos, or context switching slow you down. Use Swimm to create and edit docs that are coupled with your code, auto-synced, and integrated into your workflow. Swimm's language agnostic editor, paired with its Smart Tokens and Snippet Studio is the foundation for modern documentation. Build great media-rich docs coupled with the code. Swimm's Auto-sync algorithm, helps your documentation stay in sync through refactoring and reorganization. You don't have to worry about changing file names, function names, or your implementation. Swimm will be able to keep up with it. Swimm checks your docs as your code evolves, and notifies you if your changes affect your documentation. Access docs right next to the code they refer to. Stay in your IDE and your flow. When you click on a link, your IDE will open a new tab with the documentation perfectly rendered from Markdown.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Our SaaS platform sits alongside your existing CI/CD pipeline to create preview environments and run end-to-end tests. Once a developer pushes code, we will create a new copy of your stack in seconds by reusing snapshots from previous builds. In one copy of your stack, you can run end-to-end tests. In another you might build and push Docker images, and in yet another, you'd create ephemeral review environments. Once a change is reviewed, it can be immediately deployed to users using your existing deployment pipeline. After you've configured your stack once within webapp.io, you can make 10 copies instantly and run all of your end-to-end and acceptance tests in parallel.

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.

Turn your questions into code. Easily store and fetch your snippets. Collaborate with your team. Powered by ChatGPT & our fine-tuned GPT3 model. Gain a deeper understanding of your code to further your knowledge. Increase the quality of your code with our refactor and debug features. Securely share code snippets with your team, without losing formatting. We use ChatGPT & our fine-tuned GPT3 Model, which provides faster and more accurate responses to your questions, compared to Codex apps. Create documentation, refactor, debug, and generate code with the click of a button. We use a fine-tuned AI model trained on GPT3, which provides faster and more accurate responses to your questions, compared to Codex apps. Save your code from your IDE straight into your library with our VSCode extension. Search snippets by language, name, or folder. Create your own folder structure to suit your needs. We use ChatGPT & our fine-tuned GPT3 Model, which provides faster and more accurate responses.

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.

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.