
AWS's AI-Driven Development Lifecycle (AI-DLC) replaces legacy delivery processes with spec-driven, agent-driven development. Requirements become machine-executable specs. Coding agents - Kiro, Claude Code, or Codex, handle construction. Context layers built for your actual standards ensure every output reflects how your organization actually works.
The result: delivery cycles that took weeks now take hours. Not by adding engineers, by redesigning the process around AI.
This 2-week enablement tells you where your organization stands today, what AI-DLC would change, and the exact path to get there.

How It Works
Week 1: SDLC Audit & AI Readiness Mapping
Loka interviews your product owners, architects, engineers, and operations leads. We inventory your current tools, rituals, and handoff points across planning, construction, and operations — and map every friction point where AI-DLC would create measurable improvement.
Week 2, Days 1–3: Real Feature Mapping
We take one real feature from your backlog and run it through spec-driven development: requirements, design doc, task breakdown, and a starter context layer (AGENTS.md, SKILLS.md, guardrails) built for your actual codebase and compliance standards.
Week 2, Days 4–5: Readout & Roadmap
A clear, jargon-free readout deck your leadership team can act on immediately — with all deliverables handed over. No slides that gather dust. A plan your team can start running the week after.
Who Is This For?
CTOs and VPs of Engineering accountable for AI ROI, not just AI adoption
Teams already using Kiro, Claude Code, or Codex but getting generic output
Organizations with 10–200 engineers looking to compress time to production without adding headcount
AWS customers eligible for MAP funding looking to apply it to SDLC modernization
What You Leave With
Your AI-DLC readiness score
A gap analysis across inception, construction, and operations phases, with a clear before/after picture and a ranked list of where to act first.
A starter spec for a real workflow
Requirements, design, and task list built for one of your actual features. Ready to run with your selected coding agent from day one.
Your context layer foundation
Your transformation roadmap
A phased plan with effort estimates, an investment signal, and Loka's recommendation for the right coding agent for your team (Kiro, Claude Code, or Codex). Everything you need to take the next step with confidence.
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