Your Copilot Doesn't Know Your Architecture
While you're hand-writing prompts and instructions nobody reads...spec-driven teams are shipping features with AI that already understands their stack, their standards, and their constraints. This session shows you how they do it — and why you can't afford to wait.
4 Agents. 25 Specifications.
Each agent owns one phase of your SDLC. Research, planning, architecture, and quality validation — orchestrated, automated, and validated against every prior specification.
Research Agent
Generates competitive analysis, feasibility studies, and build-vs-buy decisions with real ROI math. One real example: 10,287 lines of research across 12 competitor platforms in 47 minutes.
Plan Agent
Produces functional requirements with acceptance criteria, numbered business rules, UI/UX workflows, and phased implementation timelines — not vague Jira tickets.
Architecture Agent
Outputs C4 diagrams, database schemas, API contracts with DTOs, security architecture, and Architecture Decision Records. Every technical choice documented with context and trade-offs.
Quality Agent
Validates implementation against all prior specifications, identifies gaps, scores compliance, and automatically creates GitHub issues for defects. Nothing slips through.
Built For Your Role
Specification automation solves different problems at every level of the engineering org. Here's what changes for you.
Tech Leads & Architects
Your ADRs exist but nobody follows them. Each team has different conventions. Agent Alchemy enforces architecture decisions automatically — constraints become code, not suggestions.
Senior Engineers
Stop reviewing AI-generated garbage. Teach Copilot your standards once with machine-readable specs and guardrails. Your patterns become the default for every developer on the team.
CTOs & Engineering Managers
Paying for Copilot but not seeing 10x productivity? Specifications as code give you measurable quality, consistent output across teams, and new-hire onboarding from day one.
Session Agenda
In one hour, we’ll cover everything you need to know to make Copilot code smarter with Specifications!
Why manual specification writing is broken
PMs produce vague requirements, architects forget to document decisions, and competitive analysis takes days. We show you the real cost: $12,000 and 3 weeks per feature.
The 4-agent workflow: Research → Plan → Architecture → Quality
Watch 4 orchestrated AI agents generate 25 SRP-compliant specifications in 2.6 hours. Real demo, real output — not slides.
Live demo: 10,287 lines of research in 47 minutes
See the Research Agent analyze 12 competitor platforms, produce a build-vs-buy decision with $87K–$140K cost estimates, and deliver a complete feasibility report.
Machine-readable architecture: guardrails.json & stack.json
Your AI doesn't know you use Angular 18 and NestJS. Learn how structured constraints make Copilot generate code that matches your team's standards automatically.
From specifications to code: closing the loop
Connect generated specs to custom instructions, prompt templates, and Copilot context so your AI builds from your architecture — not generic Stack Overflow patterns.
ROI breakdown: $216K/year savings on a 20-feature roadmap
The math behind 73x faster specification generation. Time saved, cost reduced, and quality improved — with real numbers from production use.
Q&A and next steps
Ask questions, see how the workflow applies to your stack, and get access to the downloadable GitHub App research package (10,287 lines of real agent output).
Your Stack, Supercharged
You already know these tools. We show you how to make them specification-aware — so your AI writes code that actually matches your architecture.
TypeScript
Type-safe specifications that enforce your architecture before a single line ships.
React
Component patterns backed by specifications — no more guessing how to structure features.
Next.js
Server-rendered apps with specification-driven routing, data fetching, and performance budgets.
Jest
Test cases generated from specification acceptance criteria — not invented after the fact.
GitHub Copilot
AI code generation guided by your team's specs, standards, and architectural constraints.
Download: Real Agent Output (10,287 Lines)
Register and get the complete GitHub App research package — 10 documents, 12 competitor analyses, build-vs-buy ROI calculations, and implementation timelines. All generated by the Research Agent in 47 minutes. See exactly what specification automation looks like before the session starts.
Ready to Make Copilot Actually Do Some Work?
Join spec-driven developers already using AI to generate better specifications.
Join the session and get instant access to the free guide.
Frequently Asked Questions
Your Instructor
Matt Vaughn
Software Architect — SDLC Automation & Specification-Driven Development
Matt designs enterprise systems and builds the 4-agent workflow that automates specification generation. He created the Agent Alchemy framework, including 69 specification files, 22 custom Copilot instructions, and the SpecOps Analyzer. He teaches engineers how to stop writing specs by hand and start generating them with AI.
Your last spec took 3 weeks. Ours took 3 minutes.
4 agents. 25 specifications. Competitive analysis, architecture decisions, and quality validation — all automated. Join the session and see the workflow live.
📅 Friday, February 13, 2026 at 4:00 PM EST — 45 min