Descriptions:
Most engineering orgs adopting AI coding assistants are getting slower, not faster. A randomized study found developers finish tasks 19% slower with AI while being convinced they were 20% faster. The problem isn’t the model – the problem is they don’t have a system and team standard.
This is the full two-hour workshop where I take a real brownfield codebase that has nothing (no rules, no skills, no connections) and make its entire SDLC AI native, live! A PRD in Confluence all the way to a pull request an agent has already reviewed in CI, covering the PM, the developer and QA. It’s model and tool agnostic, so it works whether your org runs Claude Code, Codex, Copilot, Cursor, Pi, or any other coding agent.
The entire system is built right within source control, so every engineer who uses that repo inherits the same rules and workflows with zero setup. The starter pack I use throughout is free and public!
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– Apply for a private team workshop:
https://dynamous.ai/ai-native-engineering-org-apply
– Join the Dynamous community for the full Agentic Coding Course:
https://dynamous.ai
– The AI Layer Starter Pack:
https://github.com/coleam00/ai-native-starter-pack
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0:00 Intro
1:45 The Shift to Agentic Engineering
5:45 A Template, Not a Framework
9:33 Sponsor: Bluehost
10:43 The Productivity Mirage
12:33 How Most Teams Use AI Today
15:22 The Brownfield Codebase
18:21 Vibe Coding: What Not to Do
22:00 The AI Native SDLC Blueprint
25:51 Q&A: Tooling, CI, and Copilot
30:37 The AI Layer Starter Pack
33:33 Global Rules and the Skills Library
37:04 Running /create-rules
39:44 The Six Parts of the AI Layer
41:32 Keeping CLAUDE.md Lean
44:52 The AI Layer Belongs in Source Control
49:01 PM Workflow: PRD to Jira Tickets
53:49 Connecting Your Agent with MCP
57:01 The Five Levels of AI Coding
59:59 Q&A: Jira vs GitHub Issues
1:03:07 Reviewing the Generated Tickets
1:05:04 The Developer’s Turn: Priming a Ticket
1:09:14 The R-PIV Loop Explained
1:11:36 Interviewing the Agent
1:16:52 Creating the Structured Plan
1:23:49 Execution in a Fresh Session
1:28:11 Q&A: /init, Central Repos, Staying Sharp
1:36:21 What Archon Adds
1:41:43 Automated PR Reviews in CI
1:46:00 System Evolution
1:47:52 Recap: The Full AI Native SDLC
1:48:58 Private Team Workshops
1:51:51 Q&A: Architecture Changes Mid-Loop
1:54:18 Q&A: Evals for Your AI System
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Join me as I push the limits of what is possible with AI. I’ll be uploading videos weekly – at least every Wednesday at 7:00 PM CDT!
