Blog
Notes on building software with agents.
Where directing a coding agent breaks down, what a durable plan looks like, and how an engineering organization for agents works. Written from our own build, with public reports cited.
AI coding · AI agents ·
Set Up Your Basic Tools on Day 1
An AI agent builds on whatever plumbing exists. Set up your database, repo, CI, hosting and email on day 1, before the first feature, so every line of code lands on real infrastructure.
Read the articleAI coding · AI agents ·
Never Jump Straight Into Coding
The fastest way to get bad software out of an AI coding agent is to ask for the software. A four-step workflow: plan, adversarial review, test plan, then implementation.
Read the articleModel intelligence · Experimental findings ·
How Smart Are the Smartest AI Models? Comparing Five Areas of Intelligence
GPT-6 Astra vs Claude Opus 5.5: an evidence-based comparison of planning, consequence prediction, context use, adaptability, and explanation accuracy, with annotated positions and practical model-selection hypotheses.
Read the articleField notes from three AI builders ·
What we learned about product decisions from testing Factory, Kiro and Atoms
Two diary-app experiments showed substantive planning, different delivery outcomes and an important question: how does an AI builder help the owner understand and shape the product?
Read the articleThe work around the code ·
Coding agents gave you engineers. Who is running the engineering team?
A founder needs help understanding the product taking shape, making informed decisions and carrying those decisions into the work. More coding capacity is only part of that job.
Read the articleA note on agentic development ·
The vibe-coding trajectory: from power trip to babysitting job
Vibe coding starts empowering. Then the agent forgets, invents, and wanders, and you become every role. A founder note with public Cursor and Claude Code reports.
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