Introducing the ADLC: The Agent Development Life Cycle
How Many CTOs10 Maalis

Introducing the ADLC: The Agent Development Life Cycle

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub" open with Super Bowl reactions and a meme about non-fans describing plays, then pivot to the ai.com halftime ad, where heavy spending reportedly led to a site crash for a Claude wrapper. They discuss MCP servers and "Rent A Human," noting gig marketplace challenges like trust, KYC, and fake profiles, and compare MCP hype to Facebook integration in 2010. Brad highlights AI agents using MCP servers for observability as a major debugging unlock, prompting nostalgic ancedotes from Scott about Microsoft Log Parser and Ajax. In their discussion about the importance of branding tools, Scott and Brad coin "ADLC" (Agent Development Lifecycle) for integrating agents into existing SDLC/CICD with human merges. After a brief tangent about O'Reilly cover animals, Brad argues this approach beats skeptics and vibe coders while changing roles, pressuring product ideation, and reducing the need for separate QA via automated and browser-driven testing.

00:34 Podcast Kickoff Banter 02:03 Football Memes And Pet Peeves 05:17 Broadcast Tech And AI Ad Fail 07:55 Rent A Human MCP Debate 10:21 Marketplace Trust And Moats 14:15 Why Build An MCP Server 17:02 Branding Tech Like Ajax 20:42 Signal MCP For Agent Pings 22:03 MCP Naming Origins 23:41 Agents in the SDLC 25:25 Branding ADLC and SDD 26:50 O'Reilly Animal Brainstorm 28:06 Marketing a New Method 29:43 Three AI Developer Camps 31:15 Why Structure Beats Vibes 37:32 QA Testing with MCP 39:27 Operational Guardrails 41:01 ADLC Summary and Wrap 43:44 Credits and Outro

Resources:

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