We build
infra
for AI.
Tools for engineers building production-grade RAG systems, LLM pipelines, and secure smart contracts. All MIT licensed.
/// open_source_projects
Tools built
for builders.
OpenAudit AI
Deterministic static analysis engine for Solidity. Finds vulnerabilities before deployment — rule-based, reproducible, no AI hallucinations.
RAG Doctor
Diagnoses structural failures in Retrieval-Augmented Generation pipelines. Tells you exactly where and why your RAG breaks.
CodePilot AI
RAG-powered coding interview prep. AI hints that understand your specific solution and guide you toward correctness, not just the answer.
/// design_philosophy
AI assists.
Logic decides.
Every tool we build rests on one conviction: deterministic systems make guarantees. AI cannot. When you need a reproducible, auditable answer, rules beat reasoning.
AI belongs in the explanation layer — translating results into natural language, surfacing semantic context, suggesting next steps. Not computing the answer itself.
“AI should assist engineering, not replace deterministic systems.”
— Core Design Principle
Deterministic Core
Static analysis, rule engines, AST parsing. Guaranteed, reproducible, auditable outcomes every time.
static_analysis()rule_engine.eval()ast.parse()AI Explanation Layer
LLM-powered natural language summaries, semantic search, context-aware suggestions on top.
llm.explain(result)embed.search(query)ctx.window(4096)Trustworthy Output
Explainable findings with auditable traces. Engineers act on results with full confidence.
audit.trace()explain.why()verify.result()/// engineering_focus
Where we
build.
Five domains where open-source tooling has the highest leverage for AI engineers.
/// open_source
Built in the open.
For everyone.
Every line of code is public. MIT licensed. No paywalls, no enterprise tiers. If it's useful to AI engineers, it belongs on GitHub.
View on GitHub