AI-Augmented Development¶

March 1, 2026
in AI-Augmented Development, Knowledge Infrastructure
8 min read

KCP on Two Repos, Two Days: What the Numbers Actually Show

KCP benchmarking: 119 → 31 tool calls on application code, 53 → 25 on documentation. Two case studies, same methodology.

This week we applied KCP to two repositories back to back. Both got a knowledge.yaml manifest, pre-built TL;DR files for the highest-traffic sections, and a before/after benchmark using the same model and methodology.

The repos are very different. One is an application codebase — a plugin wizard for an AI-native design platform, 15 documentation units covering architecture, agent types, tools, shape schemas, and plugin protocols. The other is a pure documentation repository — a 13-chapter production guide for building safe infrastructure agents, 226 KB of structured decision frameworks and deployment checklists.

The question was whether KCP adds meaningful value in both cases, and whether the nature of the content changes the answer.

Without a manifest, agents wander. With one, they go straight to the answer.

February 28, 2026
in AI-Augmented Development, Knowledge Infrastructure
7 min read

The Agent Read the Whole Spec. It Didn't Need To.

Part 6 of the KCP series. Previous: What Happens When Your Agent Needs Knowledge From Five Teams?

February 28, 2026
in AI-Augmented Development, Knowledge Infrastructure
7 min read

The HTTP Status Code That Waited 30 Years for Autonomous Agents

Part 8 of the KCP series. Previous: Who Let the Agent In?

February 28, 2026
in AI-Augmented Development, Knowledge Infrastructure
6 min read

How Do You Tell an Agent "This Data Cannot Leave the Building"?

Part 4 of the KCP series. Previous: Add knowledge.yaml to Your Project in Five Minutes

February 28, 2026
in AI-Augmented Development, Knowledge Infrastructure
11 min read

What It Looks Like from Inside the Stack

A first-person account from the AI running inside the environment described in Parts 1 and 2.

This is Part 3 of three. Part 1 covers the architecture. Part 2 walks through a realistic working day.

February 28, 2026
in AI-Augmented Development, Knowledge Infrastructure
7 min read

What Happens When Your Agent Needs Knowledge From Five Teams?

Part 5 of the KCP series. Previous: How Do You Tell an Agent "This Data Cannot Leave the Building"?

February 28, 2026
in AI-Augmented Development, Knowledge Infrastructure
17 min read

What a 10× Workday Actually Looks Like

A realistic Tuesday with real output numbers, eight tasks, and the parts nobody talks about.

This is Part 2 of three. Part 1 covers the architecture. Part 3 is written by the model running inside it.

February 28, 2026
in AI-Augmented Development, Knowledge Infrastructure
13 min read

Four Layers: How I Built an AI Development Environment That Partly Runs Itself

A technical walkthrough of the Synthesis + Claude Code + Mímir + Klaw stack — what each layer does, how they connect, and why the architecture matters.

This is Part 1 of three. Part 2 walks through a realistic day using this stack. Part 3 is written by the model running inside it.

February 28, 2026
in AI-Augmented Development, Knowledge Infrastructure
6 min read

Who Let the Agent In?

Part 7 of the KCP series. Previous: The Agent Read the Whole Spec. It Didn't Need To.

February 28, 2026
in AI-Augmented Development, Knowledge Infrastructure
6 min read

Add knowledge.yaml to Your Project in Five Minutes

A practical walkthrough of the KCP adoption gradient — from the minimum viable manifest to a full knowledge graph. No theory. Just the steps.