Community of Practice

The developers who
stopped prompting
and started governing.

Gliders Guild is where practitioners share what actually works in AI-assisted development. Not prompt tricks. Not Claude.md hacks. The corrections, standards, and practices that turn individual skill into organizational knowledge.

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// What this is

01

Video Explainers

Short, opinionated videos from a practitioner with 24 years of enterprise architecture experience. Not tutorials. Arguments about what works and why.

02

Practitioner Notes

What experienced developers actually learn from working with AI tools daily. The patterns nobody writes up because they seem too obvious — until you see someone else make the same mistake.

03

Standards, Not Prompts

The developers getting the best results aren't writing longer prompts. They're capturing corrections and building standards. That shift — from instructions to governance — is the practice.


// Why this exists

The developers who are actually getting good at AI-assisted development want to watch someone do it, not read an abstraction of what it looks like. They want to see the decisions, the corrections, the moments where experienced judgment changes the trajectory of a session.

Each video makes a specific argument and leaves the viewer with an insight they can apply immediately. The content arc moves from "how do I use AI tools better" to "how do I capture what I learn and make it organizational knowledge."


// The shift

Where most developers are

Overloading Claude.md with every instruction
Repeating the same corrections every session
Prompt engineering as the core skill
Individual productivity as the goal
Context window as unlimited resource

Where guild practitioners are

Minimal, precise standards that earn their place
Capturing corrections as reusable governance artifacts
Correction quality as the core skill
Organizational knowledge as the goal
Context window as shared resource that degrades when overfilled

// The audience arc

Season 1

Developers

Experimenting with AI tools. What does "good" look like? Practices you can apply in your next session.

Season 2

Tech Leads

Scaling what works across a team. The onboarding problem, the consistency problem, the knowledge-capture problem.

Season 3

CTOs & Architects

Organizational-scale AI governance. Authority hierarchies, earned autonomy, the 12-layer governance stack.


// 18 episodes · 3 seasons Full episode guide →
Season 1 What the Best Practitioners Actually Do
S01E01

Your Claude.md Is Fighting You

S01E02

Stop Repeating Yourself to AI

S01E03

The Skill Is the Correction, Not the Prompt

S01E04

What a Standards File Actually Looks Like

S01E05

Skills vs. Standards vs. Context: Know the Difference

S01E06

Why Vibe Coding Plateaus

Season 2 From Personal Practice to Team Knowledge
S02E01

Your Senior Engineers Are Governing Already

S02E02

The Onboarding Problem Nobody Talks About

S02E03

How Corrections Become Standards

S02E04

Measuring What AI-Assisted Development Actually Produces

S02E05

The Institutional Memory Problem

S02E06

Why Your AI Governance Can't Live in a Doc

Season 3 Governance as Architecture
S03E01

Models Execute. Systems Govern.

S03E02

The Authority Hierarchy

S03E03

Why Multi-Model Consensus Matters

S03E04

The Confused Deputy Problem in AI Agents

S03E05

Earned Autonomy, Not Granted Autonomy

S03E06

The 12-Layer Governance Stack