Devntra
AI Debugger
Your code breaks. The agent fixes it. Completely offline, completely private — a local LLM debugging sandbox that thinks like a senior engineer.
Debug Without Leaving Your Machine
Cloud-based AI tools require sending your private code to remote servers. AI Debugger was engineered to eliminate that dependency — a fully local, LangGraph-orchestrated multi-agent pipeline that runs LLaMA 3.3 70B on-device, detects errors across 8+ categories, generates intelligent patches, and validates fixes through an isolated sandbox, all without a single byte leaving your machine.
Hybrid Agent Pipeline
Rule-based pattern matching resolves 60% of errors in milliseconds. Complex bugs escalate to the LLM agent — Patch Generator, Validator, Refactor, and Explainer work in concert.
Version Control & Diffs
Git-like version tracking records every code iteration with timestamps, unified diffs, execution results, and rollback support — never lose any state during debugging.
Multi-Agent Debug Pipeline
Devntra engineered a stateful LangGraph workflow where six specialized agents collaborate — Error Interpreter, Patch Generator, Validator, Test Creator, Refactor Agent, and Explainer — each with a distinct role in the debugging lifecycle.
LangGraph Agent Orchestration
Six specialized agents with conditional routing — rule-based fast path for known patterns, LLM escalation for complex logic errors, with per-agent execution logs and iteration tracking.
Monaco Code Editor
VS Code's engine embedded directly — full Python syntax highlighting, real-time error indicators, line numbers, dark theme, and one-click debug mode toggling.
Sandboxed Execution
Every patched code version runs in an isolated sandbox. Exit codes, stdout, stderr, and success status are captured per-version and displayed in real-time.
Hybrid rule-based + LLM agent pipeline resolves 95% of common Python errors automatically.
Syntax, runtime, logical, import, type, index, key, and attribute errors — all categorized and handled.
Completely local execution — no data leaves the machine. Fast, secure, and privacy-first by design.
“AI Debugger fixed a runtime error in my Python script in under 5 seconds. The version diff view showing exactly what changed between each iteration is genuinely impressive — it's like having a senior engineer looking over your shoulder, offline.”
Ready to build your AI developer tool?
Let's discuss how our agent-orchestration expertise can power your next offline-first AI product.