AI Track
AI-Assisted Blueprints
AI-assisted blueprints close the gap between a clever prompt and a shippable change. They cover review loops, codegen harnesses, and delivery patterns so AI work lands in your real SDLC — with tools membership unlocks when you're ready to execute.
10 blueprints — complete track
Stop Reviewing Code You Don't Understand Yet — Turn AI Into a Rigorous First-Pass Reviewer That Cites Evidence, Not Style
Turn AI into a structured first-pass code reviewer: evidence-based findings, severity and confidence on every one, secrets kept out — human approval still required.
Stop Guessing Faster — Diagnose the Defect from Evidence, Not the First Plausible Theory
Turn scattered defect evidence into ranked hypotheses, controlled experiments, and a demonstrable root cause — without speculative fixes or exposed secrets.
Find the Architecture Weaknesses Before They Become Outages, Rewrites, and 2 A.M. Pages
Run an evidence-based AI architecture review — boundaries, data, scalability, security, and technical debt — with a prioritized roadmap and no fashionable rewrites.
Stop Shipping Tests That Pass While the Software Is Broken — Generate Suites That Prove Behavior
Turn requirements and source into unit and integration tests that verify real behavior — boundaries, failure paths, permissions, and side effects included.
Refactor Without Breaking It — Turn "It Looks Cleaner" into "It Still Behaves Exactly the Same"
Refactor legacy code safely with AI: define the behavior that must stay stable, sequence small verifiable steps, and prove equivalence before you ship.
Turn "the code is self-documenting" into docs a developer can actually integrate against — without inventing behavior the API doesn't have
Generate developer-focused API docs from source and specs — separating confirmed behavior from inferred, with examples that match your schemas and no leaked secrets.
Stop Managing Technical Debt by Anecdote — Build an Evidence-Based Register You Can Actually Fund
Turn "that module is a mess" into a prioritized, evidence-based technical debt register with owners, risk, cost, and a roadmap you can fund.
Catch the Design Flaws Before They Become Production Incidents — A Structured Technical Design Review
Review any technical design against requirements, failure modes, security, and operability — with a severity model, risk register, and approve/revise/reject recommendation.
Stop Rewriting Before You Understand — Modernize Legacy Systems Without Losing What Made Them Valuable
Assess, plan, and sequence legacy modernization with AI — pick the right strategy, protect business behavior with characterization tests, and build rollback into every phase.
Stop Reinventing "Review This Code" — Turn Ad-Hoc Prompts Into Governed Engineering Assets
Turn informal prompting into a tested, versioned, owned prompt library — with risk classification, evaluation rubrics, and prompt-injection controls built in.