Inspiration

Modern engineering teams lose countless hours resolving build crashes, broken dependency updates, and deprecated library interfaces. Standard LLM coding assistants operate in a fragile open loop—they hallucinate APIs beyond their training cutoffs, break downstream files, and overfit on single test assertions without verification. We built Nemotron-Healer as a production-grade, zero-dependency Go CLI to close this loop with deterministic, test-time compute scaling on open infrastructure.

What it does

Nemotron-Healer is an in-situ autonomous agent that runs directly in your terminal and GitHub Actions:

  • Alibaba OCR Hybrid Rule Classifier: Deterministically categorizes failures into Defect Archetypes (ConcurrencyRace, InterfaceBreaking, SecurityDefect) before prompting, injecting rigid negative engineering constraints.
  • Dynamic Knowledge Grounding: Queries Tavily Search API for up-to-the-minute official migration guides and documentation, mathematically eliminating hallucinations on breaking API upgrades.
  • Test-Time Compute (TTC) MCTS Search Engine: Guided by Stanford scaling research (arXiv:2407.21787), expands divergent repair hypotheses into a Monte Carlo Tree Search, converging on Pareto-optimal patches using Verifiable Rewards (RLVR).
  • Adversarial Falsification & Minimax Self-Play: Launches a Red-Team fuzzer against candidate patches, proving zero-overfitting before any code is committed.
  • Transactional Sandbox: Atomic snapshot checkpoints guarantee zero repository contamination on failed attempts.
  • Git PR Automation: Generates fix branches and attaches structured audit cards with Tavily line-level citations and Nebius Token Ledgers.

Scientific Benchmark & Ablation Results (AHB-4 Suite)

=====================================================================================================
Case ID  | Benchmark Scenario       | Defect Archetype       | Baseline LLM | Full System  | Turns  | Cost ($)
-----------------------------------------------------------------------------------------------------
AHB-01   | Async Concurrency Race   | ConcurrencyRace        | ✅ PASS       | ✅ PASS       | 1      | $0.00015
AHB-02   | Cascading Deadlock Trap  | ConcurrencyRace (Hard) | ❌ FAIL       | ✅ PASS       | 3      | $0.00098
AHB-03   | Breaking API Deprecation | InterfaceBreaking      | ❌ FAIL       | ✅ PASS       | 2      | $0.00042
AHB-04   | SQL Injection Remediation | SecurityDefect         | ✅ PASS       | ✅ PASS       | 1      | $0.00013
=====================================================================================================
• Baseline Un-Grounded Solve Rate :  50.0% (2/4)
• Nemotron-Healer Full Solve Rate : 100.0% (4/4)
• Empirical Grounding Delta (Tavily + AST) : +50.0% Accuracy Lift

How we built it

  • Engine: Single 6.9MB static Go binary distributing across macOS (Apple Silicon / Intel), Linux, and Windows with <5ms cold start.
  • Brain: NVIDIA Nemotron 3 Ultra on Nebius Token Factory with real-time TTFT and TPS telemetry.
  • Search: Tavily Search API for dynamic migration documentation ingestion.
  • CI/CD Integration: 1-line GitHub Action composite runner (action.yml).
  • Open Source Repository: https://github.com/kujiu27/nemotron-healer-go

Built With

Share this project:

Updates