Community·
I Built Kodebase in a Month with AI: What I'd Do Differently
The metrics look impressive. But behind them are mistakes, wrong turns, and lessons learned the hard way. Here's my honest retrospective.
Insights & Updates
Blog
10 posts
Engineering·
Git is the New Database: Why We Built a Project Intelligence System that Eliminates Context Decay
By treating Git as the single source of truth for development intelligence, Kodebase gives every decision, artifact, and specification the superpowers of version control: immutable history, offline access, and zero infrastructure cost.
Engineering·
How to Write Specs AI Can Actually Execute
AI fails not because it's dumb, but because your specs are vague. Learn how to describe what you want in plain language—and let the system handle the technical translation.
Engineering·
The Scout, Sherpa, and Monk Trinity: A Founder's Guide to AI-Led Development
An enforced system of three specialized MCP tools—Scout, Sherpa, and Monk—designed to capture, execute, and learn from a founder's vision, transforming domain expertise into production-quality products.
Engineering·
Memory Isn't Context: Why Universal LLM Memory Systems Fail
New benchmarks show 'smart' memory systems like Mem0 and Zep perform worse than simply feeding context directly. Kodebase takes a different approach entirely.
Engineering·
The Coming Split: AI-Native Startups vs. Everyone Else
A new class of startups is emerging—built from day one with AI at the core. They operate differently. They scale differently. And they're about to make traditional startups look slow.
Engineering·
AI Governance and Elite Performance: Inside Kodebase's DORA Metrics Scoreboard
The Kodebase system, built 100% by AI agents under human orchestration, achieves elite-tier DORA metrics. This proves that an enforced, AI-native methodology unlocks unprecedented speed and quality.
Engineering·
The Expedition: Why Building a Company is the Hardest Climb
Building software with AI is like climbing a technical peak. Speed without structure is just a faster way to fall. Here's how we designed Kodebase for the ascent.
Engineering·
Executable Documentation: The Compiler That Turns Markdown Specs into Running Code
Kodebase treats software development as a compilation process where human-readable documentation is the source code. This paradigm shift transforms intent into running, production-grade software.
Engineering·
Context Decay: Why AI Coding Assistants Forget Everything About Your Project
Context Decay is the silent killer of AI-assisted development. Your AI can write flawless code in isolation, but without memory of your project's architecture, decisions, and constraints, it's a brilliant amnesiac.