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Drew Breunig

Writing about AI, geo, culture, media, data, and the ways they interact.

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Latest posts

Manage Your Agent’s Loadout with Dr. Skill

Keep your context clean by keeping your agent's skills and tools in check.

Understanding the Dynamics of the AI Ecosystem with Pace Layers

Stewart Brand's Pace Layers framework reveals why AI's speed is straining the slower systems it depends on for support.

The Problem is Prompt Debt

The plain-English prompt that makes prototypes effortless turns out to be a poor way to specify how a system should behave, and the bill arrives slowly, disguised as ordinary progress, until the application can barely move.

What Do Humans Need From Docs?

When an agent can explain anything, should we keep writing docs for humans?

The Cost of Overfitting the Harness

OpenAI winding down fine tuning is an interesting development and one to watch.

10 Lessons for Agentic Coding

Guidelines for programming when code is cheap.

Cybersecurity Looks Like Proof of Work Now

Is security spending more tokens than your attacker?

How Claude Code Builds a System Prompt

Context engineering in action.

The 2nd Phase of Agentic Development

Moving from clones to reimaginings.

The Cathedral, the Bazaar, and the Winchester Mystery House

Welcome to the era of sprawling, idiosyncratic tooling.

Learnings from a No-Code Library: Keeping the Spec Driven Development Triangle in Sync

The following is a write up of a talk I delivered at MLOps Community’s “Coding Agents” conference, on March 3rd. There’s a video version of the talk available on YouTube.

We’re Talking About Terms of Use, But the Issue is Embedded Judgment

The biggest buyers will want to audit and influence post-training

Two Beliefs About Coding Agents

There’s a lot of noise about how AI is changing programming these days. It can be a bit overwhelming.

Why is Claude an Electron App?

If code is free, why aren’t all apps native?

How System Prompts Define Agent Behavior

System prompts matter far more than most assume. A given model sets the theoretical ceiling of an agent’s performance, but the system prompt determines whether this peak is reached.

The Potential of RLMs

Handling Your Long Context Today & Designing Your Agent Tomorrow

The Rise of Spec Driven Development

It’s been a month since I launched whenwords , and since then there’s been a flurry of experiments with spec driven development (SDD): using coding agents to implement software using only a detailed text spec and a collection of conformance tests . Github Could Use a ‘Docs Review’ UI First off, despite whenwords being a couple Markdown docs and a YAML test set, people have submitted valuable PRs.…

A Software Library with No Code

Do we still need libraries of 3rd party code when AI agents are this good?

2025 in Review: Jagged Intelligence Becomes a Fault Line

Looking back on 2025, the incredible pace of AI is stunning. But fast growth brings disconnects.

Why I Write (And You Should Too!)

Publicly writing is one of the most valuable things you can do. It improves your thinking, ability to communicate, and connects you to interesting people.