Context-First Spec-Driven DevelopmentBuildforce materializes user intent into structured specifications, generates implementation plans, and tracks execution with full traceability.
By creating a persistent context repository that accumulates knowledge across sessions, it enables AI agents to learn from past decisions and maintain consistency across features.
AI agents start fresh with each session and reverse engineer the codebase on-demand. Buildforce inverts this by loading accumulated context first—searching your context repository before you define requirements.
This context-warming approach ensures specs are informed by past decisions, plans reference existing patterns, and implementations remain consistent. Context persists in version-controlled YAML files alongside your code, so your project's knowledge base grows smarter with every feature you complete.
Context-first means less time explaining, more time building.
Read More.buildforce/context/ as version-controlled YAML files. Architectural decisions, design patterns, and implementation knowledge persist across sessions and team members.spec.yaml with functional requirements, acceptance criteria, and scope boundaries. No more vague "build this" conversations—specs define WHAT to build with clarity.plan.yaml with architecture decisions, technical stack, and phased tasks. Plans define HOW to build it, with progress tracking and deviation logging for full traceability./research gathers context, /spec defines requirements, /build executes implementation, /complete validates and saves knowledge, /document captures existing code.Buildforce uses slash commands inside AI assistant conversations to orchestrate a structured workflow.
Each command feeds context forward: research informs spec, spec guides plan, plan drives build, build enriches context. This orchestration prevents context loss and creates knowledge that compounds over time.
