AI-Driven Development Lifecycle Enablement at $0 Cost

Most engineering teams are using AI tools but running the same processes: sprint ceremonies, handoff delays, weeks-long requirement cycles. Only 5% of companies generate sustained P&L impact from AI; the other 95% optimize individuals, not the process.

Loka implements AWS's AI-Driven Development Lifecycle (AI-DLC) inside your engineering teams, redesigning how software gets built around agents, not around them. We match the right agent to your stack, build the specs and guardrails your codebase needs, and get your team compounding velocity from week one.

How it Works

1. SDLC audit and AI readiness mapping (Week 1) Interviews with your PO, architect, and engineers. Inventory of current tooling, rituals, and bottlenecks across inception, construction, and operations.
2. Real feature mapping (Week 2, Days 1-3) We map one real feature through spec-driven development: requirements, design doc, task breakdown, and design your starter AGENTS.md, SKILLS.md, and guardrails.
3. Readout and roadmap (Week 2, Days 4-5) Plain readout deck that your team can act on immediately, plus all deliverables handed over.

Why Assess with Loka

• The right agent matched to your stack: Loka works across Amazon Kiro, Claude Code, and Codex to select the agent that best fits your environment and engineering needs.
• Context engineered for your actual codebase: 100+ AWS-certified AI engineers build agents, skills, specs, and guardrails for your workflows, standards, and codebase, not from a generic template.
• Backed by production, not pilots: 500+ GenAI and Agentic projects since 2023, with more than 50% in or moving to production.

Who This is 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.