The challenge
AI-assisted development teams repeatedly solve similar orchestration and remediation problems, producing long LLM traces, inconsistent outcomes, and weak institutional memory. Behavior handbooks exist but are siloed, hard to enforce, and unaudited.
Where I focused
Own product strategy, PRD, and milestone planning—from Meta Metacognitive Reuse research validation to service architecture, VS Code extension design, analytics dashboards, and compliance automation across four client surfaces.
How we approached it
Behavior service & lifecycle
Built full-lifecycle BehaviorService (create, search, approve, deprecate) with SQLite backend, CLI/REST/MCP parity validated by 25 passing tests, and 9 MCP tool manifests for programmatic access.
Workflow engine with BCI
Designed WorkflowService with behavior-conditioned inference—retrieving Top-K behaviors and prepending them to prompts to reduce output tokens by up to 46% while maintaining accuracy.
VS Code extension MVP
Shipped 11-file TypeScript extension with behavior sidebar, workflow explorer, plan composer, and detail panels. Validated in runtime with live services and telemetry instrumentation.
Compliance & analytics automation
Delivered checklist automation engine with coverage scoring, DuckDB analytics warehouse with 4 KPI dashboards, and Metabase integration—all created programmatically in under 10 seconds.
What shipped
- Four primary Milestone 1 deliverables shipped: BehaviorService, WorkflowService, VS Code extension, and checklist automation engine.
- 110+ passing tests across 5 test suites validating CLI/REST/MCP parity for all services.
- 30 MCP tool manifests published for programmatic behavior, workflow, compliance, and analytics access.
- Analytics pipeline operational: DuckDB warehouse with 4 fact tables, 4 KPI views, and 4 Metabase dashboards covering reuse, tokens, completion, and compliance.
- 13 governance playbooks shipped including agent auth architecture, behavior versioning, and compliance control matrix.
What I learned
The best developer tools compress repeated reasoning into reusable knowledge. Amprealize proves that productizing behavior discovery and retrieval—rather than leaving it to tribal memory—delivers measurable gains in cost, accuracy, and auditability.
