AI-DLC Enablement at
$0 Cost

Know exactly where your delivery breaks, and what
AI-native development would fix. In 2 weeks. At $0 cost.

Get Started
Get Started

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.

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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

Custom AGENTS.md, SKILLS.md, and guardrails drafted for your stack, standards, and compliance requirements. The foundation every AI-DLC engagement starts with, yours to own.

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.

Helping Leaders Make Sense of the Technical Landscape Since 2004

Dr. KatzElloPlowz&MowzCameoShift HealthGovlyLabVoiceOxbridge HealthAppliedVRGetHuman
Dr. KatzElloPlowz&MowzCameoShift HealthGovlyLabVoiceOxbridge HealthAppliedVRGetHuman
Dr. KatzElloPlowz&MowzCameoShift HealthGovlyLabVoiceOxbridge HealthAppliedVRGetHuman