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CodeCraft AI — An AI-assisted coding platform for engineering teams
CodeCraft AI is an AI-assisted coding platform from Lumark Software Inc. It helps engineering teams write, refactor, and understand code in real projects. Le...
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83 % |
|
Tentaro - Code Context for Your Team and Your AI
Tentaro turns your repositories into grounded context for engineers and AI assistants. Answers cite exact files and lines - or say nothing at all. On-prem.
|
82 % |
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Vibe Code Textbook
Field notes on coding with AI agents: harness walkthroughs, repeatable workflows, the repos worth reading, and honest measurements of what the tools actually...
|
81 % |
|
SocratiCode Cloud | The codebase context engine your team shares
SocratiCode is a codebase context engine, not another AI. It indexes your repositories (code, dependency graphs, database schemas, API specs and architecture...
|
81 % |
|
Codex Download | AI Coding Partner from OpenAI
Download Codex, the AI coding agent from OpenAI powered by ChatGPT. Codex helps you build and ship software faster—from routine pull requests to complex refa...
|
81 % |
|
Knowz Code - Structured AI Development
Open-source AI coding framework with structured loops, specs, TDD, and quality gates. Plugins for Claude Code, Codex, Gemini, Copilot, Cursor, and Windsurf....
|
80 % |
|
cix — project context for AI coding assistants
Stop letting AI assistants guess your codebase. cix is an MCP project index for Claude Code, Codex, Gemini CLI, and Cursor — a live map of symbols, routes, s...
|
80 % |
|
Codenada - Non-techie Developer Network Powered By Tinc Tanc Ai
|
80 % |
|
CodeMate AI | Sovereign AI Pair Programmer & Code Assistant
CodeMate AI is the sovereign AI pair programmer and developer assistant. Code 10x faster with private, self-hosted AI code completion, automated code reviews...
|
80 % |
|
CodingFleet - AI-powered Coding Tools
CodingFleet is an AI-powered coding platform: generate, explain, convert, enhance and debug code with 20+ top LLMs.
|
80 % |
|
SynergyCoder - Code Like a Human, Automate Like a Machine
Where AI writes code—exactly how you would. Define your rules, and let AI generate code that mirrors your style, patterns, and best practices.
|
80 % |
|
CodeAlive — Context Engine for AI Coding Agents on Large Codebases | CodeAlive
CodeAlive is the Context Engine for AI agents. Graph RAG over large multi-repo codebases, delivered via MCP for Claude Code, Cursor, and Codex. Cloud or self...
|
80 % |
|
AICode: Develop at light speed without manual code review | VS Code AI coding assistant
A spec-driven AI coding assistant for faster software delivery. Human control of the specification before generation. AI verification of the implementation a...
|
80 % |
|
Bytefolio - Code Worth Keeping
Your code knowledge repository that functions as your second brain. Capture, organize, and retrieve engineering knowledge with AI-powered semantic search.
|
80 % |
|
CodeSage - AI Code Review Platform
Context-aware AI code review platform with intelligent analysis, automated standards checking, and actionable insights.
|
80 % |
|
Code AI Space: AI coding tools, jobs, events and learning
A curated directory of AI coding tools, plus jobs, events, learning resources and news from across the Code AI space.
|
80 % |
|
AST MCP Server: Compiler-aware code access for AI coding agents
Give AI coding agents compact, compiler-aware access to TypeScript and JavaScript projects. Retrieve exact symbols, references and diagnostics without loadin...
|
80 % |
|
AI Code Detector | Transparent Code Heuristic
AI Code Detector: paste code or select local source files for a transparent report of configured code-style signals.
|
80 % |
|
FiboCode — Code Editor with a Knowledge Base for Agent Workflows
FiboCode weaves code, docs, graphs, and project history into a living knowledge base inside your editor, then brings that shared context to the Agent CLI you...
|
80 % |
|
Code with AI — Practical, developer-depth guides for coding with AI
Developer-depth guides for coding with AI assistants — how they work, prompting for correct code, review and tests, building LLM features, and shipping safely.
|
79 % |
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