Build AI-powered developer tools that understand your codebase. We create custom AI code editors, code review bots, codebase Q&A systems, and autonomous coding agents — using Claude, GPT-4, and open-source models with full codebase context via RAG.
Proof-First Delivery
What We Offer
Each module is designed as a production block with integration boundaries, governance hooks, and measurable outcomes.
Build Cursor-like AI code editors tailored to your tech stack. Multi-file editing, codebase-aware completions, inline chat, and AI-powered refactoring — integrated into VS Code extensions or standalone editors.
Automated PR review bots for GitHub, GitLab, and Bitbucket. Security vulnerability detection, code style enforcement, performance issue flagging, and actionable improvement suggestions — powered by LLMs grounded in your coding standards.
Chat with your codebase. RAG-powered systems that let developers ask questions about architecture, find relevant code, understand dependencies, and generate documentation — indexed across your entire repository.
Code generation tools that produce production-quality code following your patterns. API endpoint generators, test writers, migration script builders, and boilerplate automation — all grounded in your existing codebase.
Multi-step coding agents that can plan, implement, test, and iterate on code changes. Bug fix agents, feature implementation agents, and refactoring agents with human-in-the-loop approval.
AI-powered insights into developer workflows — code review bottlenecks, common bug patterns, documentation gaps, and optimization opportunities. Actionable metrics, not vanity dashboards.
Delivery Proof
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
Build Cursor-like AI code editors tailored to your tech stack. Multi-file editing, codebase-aware completions, inline chat, and AI-powered refactoring — integrated into VS Code extensions or standalone editors.
Automated PR review bots for GitHub, GitLab, and Bitbucket. Security vulnerability detection, code style enforcement, performance issue flagging, and actionable improvement suggestions — powered by LLMs grounded in your coding standards.
Chat with your codebase. RAG-powered systems that let developers ask questions about architecture, find relevant code, understand dependencies, and generate documentation — indexed across your entire repository.
Code generation tools that produce production-quality code following your patterns. API endpoint generators, test writers, migration script builders, and boilerplate automation — all grounded in your existing codebase.
FAQ
Tell us about your engineering workflow — we'll design AI-powered tools that understand your codebase and accelerate your team's productivity.