II.
Methodology overview
Reference · livemethodology:rpikit
RPIKit (Research-Plan-Implement) overview
Implements the Research-Plan-Implement framework for disciplined AI-assisted software development. Enforces the Iron Law: do NOT explore the codebase until the problem is understood. Features stakes-based rigor scaling (low/medium/high), test-first enforcement, verification-before-completion, human approval gates between major phases, and soft-gating reviews that preserve user autonomy.
Attributes
displayName
RPIKit (Research-Plan-Implement)
description
Implements the Research-Plan-Implement framework for disciplined AI-assisted
software development. Enforces the Iron Law: do NOT explore the codebase until
the problem is understood. Features stakes-based rigor scaling (low/medium/high),
test-first enforcement, verification-before-completion, human approval gates
between major phases, and soft-gating reviews that preserve user autonomy.
methodologyKind
ai-assisted
origin
Matthew Boston
Outgoing edges
applies_to1
- domain:software-engineering·DomainSoftware Engineering
Incoming edges
follows_methodology6
- lib-process:shared--rpikit-brainstorm·LibraryProcessrpikit-brainstorm
- lib-process:shared--rpikit-decision·LibraryProcessrpikit-decision
- lib-process:shared--rpikit-implement·LibraryProcessrpikit-implement
- lib-process:shared--rpikit-plan·LibraryProcessrpikit-plan
- lib-process:shared--rpikit-research·LibraryProcessrpikit-research
- lib-process:shared--rpikit-review·LibraryProcessrpikit-review