Software engineer · Reliable AI-assisted development
AI coding agents can write the code, the tests and the explanation. If all three share the same wrong assumption, passing tests can create false confidence.
I build tools to record decisions before outcomes are known, trace what code changes put at risk, and check that regression tests distinguish the intended bug from harmless changes.
- AssertLedger — Check whether a regression test actually catches its target bug, with replayable evidence.
- semctx — Trace a Git diff to affected symbols, contracts, invariants and tests.
- StacksFinder MCP — Bring deterministic tech-stack recommendations to AI assistants through MCP.
- Material Workbench — Generate reproducible materials and terrain tiles from recipes, through a CLI, desktop app or MCP.
- Latent Compass — Record coding-agent decisions and evaluate policies offline, with explicit limits on what the evidence establishes.
- Top-down Diagnosis — A bilingual guide and reusable templates for tracing software problems from intent to implementation.
I care about reproducible results, inspectable evidence and clearly stated uncertainty.



