Best AI Coding Assistants for GitHub - Page 4

The only auto-pilot agent that works with your unique software development workflow. Anycode AI converts your whole Legacy codebase to modern tech stacks up to 8X faster. Boost your coding speed tenfold with Anycode AI. Utilize AI for rapid, compliant coding and testing. Modernize swiftly with Anycode AI. Effortlessly handle legacy code and embrace updates for efficient applications. Upgrade seamlessly from outdated systems. Our platform refines old logic for a smooth transition to advanced tech.

An open source, terminal-based AI coding engine that helps you complete large tasks, work around bad output, and maximize productivity. Plandex uses long-running agents to complete tasks that span multiple files and require many steps. It breaks up large tasks into smaller subtasks, then implements each one, continuing until it finishes the job. It helps you churn through your backlog, work with unfamiliar technologies, get unstuck, and spend less time on the boring stuff. Changes are accumulated in a protected sandbox so that you can review them before automatically applying them to your project files. Built-in version control allows you to easily go backwards and try a different approach. Branches allow you to try multiple approaches and compare the results.

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.

Redactive's developer platform removes the specialist data engineering knowledge that developers need to learn, implement, and maintain to build scalable & secure AI-enhanced applications for your customers or productivity use cases for your employees. Built with enterprise security needs in mind so you can focus on getting to production quickly. Don't rebuild your permission models just because you're starting to implement AI in your business. Redactive always respects access controls set by the data source & our data pipeline can be configured to never store your end documents, reducing your risk on downstream technology vendors. Redactive has you covered with pre-built data connectors & reusable authentication flows to connect with an ever-growing list of tools, along with custom connectors and LDAP/IdP provider integrations so you can power your AI use cases no matter your architecture.

Operates autonomously to handle common alerts and actions, reducing escalations and preventing burnout. Dynamically adjusts thresholds and dashboards to proactively prevent incidents and adjusts runbooks with every new incident. Saves up to 20 hours per on-call engineer per week so you can get back to the building. Handles all alerts, performs root cause analysis, resolves incidents, and makes on-call stress-free. Automates root cause analysis and incident response, cutting Mean Time to Resolution (MTTR) by up to 80%. With detailed incident summaries and hypotheses available, before you log in, you'll experience faster response and significantly increased uptime. Get started in minutes with production-ready AI, which is secure and knows how to use all the production tools like an experienced software engineer. It automatically maps your production system, understands code, and captures changes without any training.

poolside is building next-generation AI for software engineering. A model built specifically for the challenges of modern software engineering. Fine-tune our model on how your business writes software, using your practices, libraries, APIs, and knowledge bases. Your proprietary model continuously learns how your developers write code. You become an AI company. We're building foundation models, an API, and an assistant to bring the power of generative AI to your developers. The poolside stack can be deployed to your own infrastructure. No data or code ever leaves your security boundary. Ideal for highly regulated industries like financial services, defense, and technology as well as retail, tech, and systems integrators. Your model ingests your codebases, documentation & knowledge bases to create a model that is uniquely suited to your dev teams & business. poolside is deployed in your environment which allows you to securely and privately connect it to your data.

Savery can rewrite your code to the newest version or standards, even if it is a large codebase. Give Savery a dataset and it will automatically figure out what AI models are optimal for your use case. It can write the AI algorithm and train the model for you. Savery can help you research a topic. It can go online and find relevant information to do the coding. Find documentation for an API integration, specifications for a dataset or just read the uploaded documentation for your project. If you need to modify your code you can ask Savery to do it for you. It will automatically find where to modify the code and update the file in your test environment. Savery will automatically test the software it produces and make sure it won't be submitted before it works correctly. The embedded quality assurance, or unit testing, works smoothly and speeds up your deliveries. The wide range of integrations makes your life easier. No copying or pasting code or tasks from one system to another.

Your AI-powered code agent that works in the background so you can focus on critical tasks. Integrating directly with GitHub and using the latest Gemini models, Jules can: Write code to solve your issue Break down complex coding tasks into actionable steps Understand and navigate your codebase Run and validate changes through unit tests Adapt the approach based on your feedback

Augoor transforms static code into dynamic knowledge, enabling teams to navigate, document, and optimize complex systems effortlessly. By extracting structures, relationships, and context, Augoor builds a living knowledge graph that accelerates the development lifecycle. Its AI-driven code navigation tool accelerates new developer productivity, integrating them into projects from day one. Augoor reduces maintenance efforts and enhances code integrity by pinpointing problematic code segments, saving costs, and reinforcing your codebase. It automatically generates clear, updated code explanations, preserving knowledge, especially for complex legacy systems. The AI navigation system cuts down time spent searching through code, allowing developers to focus more on coding, speeding up feature development, and fostering innovation in large codebases. Augoor's advanced AI-driven visualizations uncover hidden patterns, map complex dependencies, and reveal critical relationships.

🚀 Codoki is an AI-powered engineering assistant that helps teams fix bugs, refactor code, and reduce tech debt—up to 50x faster. Unlike AI code assistants that just suggest snippets, Codoki integrates with your workflow, detects issues, automates fixes, and even acts as a 24/7 AI on-call engineer—reducing downtime and saving developer time. Engineering teams using Codoki ship faster, cut operational costs, and spend more time building instead of fixing.

Infrabase is an AI‑powered DevOps agent that continuously scans GitHub infrastructure-as-code (IaC) in context to detect and flag security vulnerabilities, cost anomalies, and policy violations before they reach production. It integrates with GitHub via an app, securely indexes repositories (without storing raw code), and uses LLMs such as Claude, Gemini, or OpenAI to generate natural-language review checklists. Developers can define custom guardrails using Markdown-based rules instead of complex policy languages. On each pull request, Infrabase provides blast-radius insights, severity scoring, and even merge-blocking triggers for critical issues. It highlights deviations from internal coding patterns and uncovers hidden costs or poorly configured resources.

Devplan is an AI-powered workspace that turns product ideas into execution-ready plans with minimal overhead. It connects to GitHub, Linear, and web context to generate detailed PRDs, user stories, tech designs, and AI-executable prompts. Devplan learns your codebase, product goals, and market to deliver context-aware, IDE-ready instructions. With built-in collaboration, roadmap prioritization, and CLI integration, teams can plan and ship up to 3× faster. Simple pricing at $10/mo (billed annually) with a 14-day free trial.

Asimov is a code research agent that understands and works with complex enterprise codebases. Rather than focusing on code generation, it prioritizes codebase comprehension, a task that consumes up to 70% of developers’ time, by mapping relationships between code, architecture, and team decisions; maintaining institutional knowledge as engineers join and leave; and learning organically from team interactions and documentation. It indexes your entire development environment, including code repositories, architecture docs, GitHub threads, and Teams conversations, to build a persistent, cross‑cutting understanding of systems and to maintain context across architectural changes and team transitions. By using expanded context windows instead of traditional retrieval methods, Asimov can dynamically reference any part of a codebase during reasoning, enabling more accurate synthesis across disparate components.

Sita cuts AI spend by 30% and saves 25 hours per developer each month by automating search and documentation. It turns code, messages, and docs into a knowledge graph and feeds only relevant context to your coding tools, cutting input tokens by 32%. Sita also keeps your docs up to date and helps ship features 37% faster with 68% fewer bugs. We onboard you with white-glove support in one hour. Sita works with or without your current tools and can power them through MCP or our own agent.

BASE44 is an all-in-one AI platform designed to enable users to build fully functioning apps without any coding. It eliminates the need for complex integrations, providing built-in features like databases, AI integration, email systems, authentication, analytics, and storage, allowing users to focus on their ideas. It helps users save time and money by creating custom solutions that fit their needs, replacing expensive SaaS products, and developing tailored back-office tools, personal productivity apps, customer portals, and automated business processes. BASE44 also facilitates the rapid development of MVPs and prototypes to test concepts quickly. It empowers non-developers to create functional applications instantly, making it ideal for a variety of use cases, from automating workflows to building secure platforms.