AI that doesn't
drift, forget, or
cut corners.
A lean methodology and deterministic toolkit for reliable AI-assisted software engineering. Structure enables speed.
pip install rai-cli Deterministic where it matters.
Separate what the LLM should decide from what it shouldn't. Deterministic harnesses for process. Probabilistic inference for creativity.
Neurosymbolic Memory
Graph-based context that compounds across sessions. The AI remembers patterns, calibrations, and mistakes — deterministically.
Skills as Process
Repeatable workflows encoded as skills, not prompts. TDD cycles, story decomposition, evidence-based research — built in.
Governance Built In
Guardrails, gates, and quality checks at every stage. Not optional layers — structural elements of the framework.
Lean Methodology
Minimum viable everything. Simple heuristics over complex ML. Keyword matching is 98% accurate. Complexity must earn its place.
CLI-First Toolkit
One command to build context, query patterns, emit telemetry. Deterministic operations that never hallucinate.
Human in the Loop
Jidoka — stop on defects. The AI pauses when uncertain, not when confident. Trust is built, not assumed.
One engineer.
Full team output.
RaiSE is the operating system for the AI-assisted developer. Skills guide process. Memory compounds knowledge. Gates enforce quality.
The result: one person ships what used to require a team — with higher quality, better tests, and complete traceability.
Build with discipline.
RaiSE is open source. Start with the framework, grow with the methodology.