Not a presentation about methodology. A live modernization session on a real legacy codebase, with the orchestration layer wired in and the guardrails switched on. AI agents from AWS Q Developer and Claude take on a refactor. Test contracts catch flaws before the PR opens. The governance layer steps in when an agent tries to exceed its scope, and DORA metrics move on screen while it's happening. Two hours, with every enforcement mechanism visible so you can decide whether the approach fits what you're modernizing.
Two hours decide whether the approach fits your codebase. You watch AWS Q Developer and Claude refactor a real legacy service with test contracts checked on every PR, boundary controls bounding every agent action, and DORA metrics moving live on screen. When the agents succeed you see the mechanism. When they fail you see the safety net catch them before the change ships.
AI-generated code contains 2.74x more vulnerabilities without test-first discipline. You'll see TDD catch one live.
Veracode 2025
80% of companies with AI agents have had boundary violations. You'll see the governance layer prevent one.
Strata 2026
4.2x improvement in deploy frequency, DORA baseline to exit. You'll see metrics move during the session.
Armakuni engagement data
The specific failure modes: vulnerability compounding, coupling cascades, governance gaps. The research behind the AK Way approach.
Facilitated session. Which services would you modernize first? Where are the governance requirements? What does your DORA baseline look like today?
Compass as the starting point if you haven't assessed your codebase yet. MAP funding eligibility. Evolve engagement scoping if the workshop convinced you.
An agent wrote code. The test contract caught the flaw. The PR was blocked. You saw the mechanism that makes AI code generation safe. Not theory. Not slides.
An agent tried to exceed its scope. The layer stopped it. You saw governance as running infrastructure, not a policy document someone wrote and no one reads.
Deploy frequency, lead time, change failure rate. You'll see the measurement mechanism tracking a representative scenario in real time. In a real engagement, these same instruments track your actual codebase over weeks.
Everything you've seen deploys in your AWS account. It stays when we leave. You own the system that makes governance real.
From the engineers who build and operate Evolve engagements. Architecture decisions, governance trade-offs, what works and what's hard. No scripted responses.
Compass first if you haven't assessed your codebase yet, or Evolve directly if you have. MAP funding eligibility. Timeline and scope for your situation.
The person who decides whether governed agentic modernization fits the organization's risk appetite and delivery goals.
The person who will evaluate whether the governance layer and AK Way practices are technically sound for your codebase.
The person who needs to see governance in action: boundary controls, audit trails, OWASP Agentic compliance. This workshop exists for this role.
The person whose team will work inside the system during an Evolve engagement. Seeing it live changes the conversation.
Every consultant has a methodology.
Few can show you the enforcement mechanism running live.
That's what this workshop is.
Recent results
A platform-engineering modernization combining agentic AI with the data layer. Shipped on AWS with full audit trail.
A live modernization with governed AI agents. TDD catching failures. Boundary controls stopping scope creep. DORA metrics moving. You'll leave knowing whether this fits your codebase.
Virtual. Free. Your first conversation is with an engineer, not a sales rep.
AWS Premier Tier Services Partner






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