Your engineers aren't stuck on tooling. They're stuck on letting go.
Your team knows the tools. What they haven't done is let go of being “the coder.”
The gap between glorified autocomplete and agentic development isn't technical. It's a psychological block. Your team knows the tools. What they haven't done is let go of being “the coder.”
The unlock is a new identity.
From individual contributor to engineering manager of an AI. Stop writing code. Start managing the AI that does.
Managed Agentic Delivery Outcomes
For Organizations
For Developers
The Five Levels Framework
AI finishes your sentences. You’re still writing every line.
You ask AI for snippets and paste them in. You’re still the one building.
AI owns the ticket. You make the decisions. You plan, review, and ship. The AI writes the code.
Multiple agents coordinate across tasks. You set direction, not keystrokes.
AI identifies, scopes, builds, tests, and deploys. You’re not in the loop.
Most teams think they're at Managed Agentic Delivery. They're at Autocomplete Assistant. This workshop closes that gap. No theory. Hands-on. Applied to your actual codebase.
“A programmer that simply autocompletes doesn't meaningfully help my company, but one that takes AI through the full ticket lifecycle does.”
Five Workshops. Dev and QA Together.
Everyone attends every session. QA content is integrated, not siloed.
The Mindset Shift
The framework, the AI-DLC mental model, and a live demo that rewires how your team thinks about their role.
Your First Agentic Ticket
Prompt anatomy and hands-on guided ticket work. Your team delegates to AI for the first time. On real work.
Agentic PR Review & Quality Gates
PR checklists, AI self-review, and Gherkin test generation from specs. The AI checks its own work before you do.
Agentic Test Automation
Playwright with AI, CI/CD verification gates, and writing testable code. QA stops being the bottleneck.
Operating at 10x
Full cycle capstone, team operating model, sustainable habits. This is how you stay at Managed Agentic Delivery permanently.
The Details
AI-DLC Methodology
Built on AWS AI-DLC. AI plans, humans decide. AI implements, humans validate. Bloom's Taxonomy learning outcomes.
Your Instructor
Gabriel De La O. 20 years software engineering. BIC Instructor Certified. Not theory. Methodology.
Format
Live video. 5 workshops, 2 hours each. Dev and QA together. Up to 15 per cohort. Tailored to your stack plus 2 weeks support.
Ready to move your team to Managed Agentic Delivery?
15 seats per cohort. Pilot pricing available.