AWS AI-Driven Development Lifecycle (AI-DLC) is the methodology that makes that fast: requirements become machine-executable specs, coding agents handle construction, and context layers ensure every decision reflects your organization's real standards.
Loka is embedding senior AI engineers directly inside your team, working on your actual challenges, in your actual environment.
Together, they move teams from weeks to hours, and the results are visible by Day 2.
How It Works
2 weeks before (Discovery session)
One 30-minute call where we map your team's tool preference (ex: Kiro, Claude Code, Codex or any other you work with), shortlist 2–3 candidate use cases to explore on Day 1, and confirm access prerequisites. Your team prepares nothing, we handle the environment.
Day 1
(Foundation)
The morning opens with organizational discovery, your AI goals, current bottlenecks, and where teams are already experimenting. Use cases surface from that conversation, not a pre-set agenda. The afternoon runs hands-on: active and passive context, plugins, skills, and guardrails, all in a managed sandbox. Every participant, regardless of their role, leaves Day 1 understanding how AI-native delivery actually works. No experience required.
Evening of Day 1
(Working dinner)
Loka and your leadership step out of the training context and align on which use cases to pursue, what funding paths are available, and what the next 6 months look like. This is where the program moves from enablement to strategy.
Day 2
(Applied)
Day 2 takes what Day 1 surfaced and builds it. Your teams take two real use cases - chosen through Day 1 discovery, and run them hackathon-style with Loka mentors. Engineers build while product managers spec, compliance validates guardrails and operations maps workflows. The day closes with a leadership readout and a clear recommended next step.
Who Is This For?
CTOs and Engineering VPs ready to see AI-DLC work in practice, not in a slide deck
SMB and enterprise engineering teams
Teams that want to see real velocity before committing to a longer production engagement
Full value requires CEO, CTO, CMO, and technical leads in the room - not just the engineering team.
What You Leave With
AI-DLC adoption roadmap
Brought to your organization, built from hands-on experience. Your team leaves with a clear adoption roadmap.
Team enablement
Your engineers and leads get hands-on experience with the full AI-DLC cycle, from spec to tested code, mentored by Loka FDEs.
Your AI-DLC artifacts
Every spec, skill, and context file produced during the workshop, handed over as a reusable starting point for your own AI-DLC projects.
Helping Leaders Make Sense of the Technical Landscape Since 2004
