Hi HN — I’m the creator of Autonoma.
Autonoma is an open-source, local-first autonomous code remediation engine. It analyzes code at the AST level and uses a local LLM (currently Qwen 2.5-Coder) to automatically detect and fix a bounded set of high-impact issues such as hardcoded secrets, insecure password handling, SQL injection patterns, and common linting problems.
This is a pilot edition: single-repository, on-prem only, no governance layer, no audit logs, no RBAC, and no enterprise guarantees. The goal is to explore what practical, bounded autonomy looks like for code remediation — not to claim production or enterprise readiness.
Everything runs locally, the code is fully inspectable, and fixes are intentionally constrained to deterministic categories.
I’m especially interested in feedback around safety, determinism, failure modes, and where this approach breaks down.
Autonoma is an open-source, local-first autonomous code remediation engine. It analyzes code at the AST level and uses a local LLM (currently Qwen 2.5-Coder) to automatically detect and fix a bounded set of high-impact issues such as hardcoded secrets, insecure password handling, SQL injection patterns, and common linting problems.
This is a pilot edition: single-repository, on-prem only, no governance layer, no audit logs, no RBAC, and no enterprise guarantees. The goal is to explore what practical, bounded autonomy looks like for code remediation — not to claim production or enterprise readiness.
Everything runs locally, the code is fully inspectable, and fixes are intentionally constrained to deterministic categories.
I’m especially interested in feedback around safety, determinism, failure modes, and where this approach breaks down.