Blog // Notes and Research
Field notes on coding agents, LLM harnesses, Three.js, architecture, and the parts of software work that still need human judgment.
06/27/2026 · AI Research
Updated practical ranking of coding AI tools three months later. Same three dimensions, some shifts in the answers based on more real work.
Spring had one set of tradeoffs. Summer is showing different ones in practice. The three questions have not changed much. The answers have.
Read article05/28/2026 · AI Research
A proposal for Squire: a local, context-engineered awareness service that runs inside apps, uses CLI tools as capabilities, and prepares useful work without taking over user judgment.
Chatbots move the user out of the workflow. Squire moves the model into the workflow: a local awareness layer that understands the app, reads its structures, and prepares the next useful thing.
Read article05/10/2026 · AI Research
A practical first-person guide to using LLMs in game development, covering code, assets, prototyping, debugging, multiplayer, tools, and workflow management.
AI-assisted game development is no longer just autocomplete. This guide shows what LLMs can realistically add to a game dev workflow today, from design docs and gameplay code to assets, debugging, performance, and multi-agent workflows.
Read article05/06/2026 · AI Research
A practical baseline workflow for using LLMs and coding agents without losing control of the work: specs, examples, clarification, diff review, runtime QA, and earned commits.
Prompt-and-pray feels productive because the model moves fast. A better workflow keeps the human in charge of taste, context, review, and runtime behavior.
Read article05/05/2026 · Software Culture
A practical argument for software that respects users, keeps data portable, prices itself honestly, and stops turning every workflow into a funnel.
Deshitification is not anti-business. It is anti-extraction: software should fit the user, respect their data, and make leaving as easy as arriving.
Read article04/27/2026 · AI Research
A practical ranking of coding AI tools in 2026 by usage allowance, state-of-the-art intelligence, and wide problem complexity handling.
The best AI for coding depends on the job: daily usage volume, top-end intelligence, or wide multi-file problem solving. This ranks the current stack by those three dimensions.
Read article04/26/2026 · AI Research
High-end tools still lead on polish and stability, but modern GPUs, open knowledge, and fast prototyping are making much of that advantage reusable by smaller teams in far less time.
A field note on how speed and accessibility are eroding software moats in 3D, tooling, and beyond.
Read article04/17/2026 · AI Research
A visual map of how software value changes as LLM capability expands outward from simple CRUD into finance apps, vertical SaaS, games, infrastructure, embedded systems, and expert software.
An interactive star map for tracking which software categories are becoming easier to produce with LLMs, and which still hold value through judgment, context, and expertise.
Read article04/17/2026 · AI Research
AI operating harnesses and LLM agent orchestration are not autonomous companies yet. They are early coordination tools for founders, managers, and small teams.
A practical look at coding harnesses, company harnesses, agent orchestration, and why the useful near-term shape is a hybrid operating layer for humans.
Read article01/01/2026 · Architecture Notes
Who I am, what 17 years of building enterprise and consumer software taught me, and why I started writing about AI assisted development.
A starting point for writing about systems architecture, full stack software, and where AI assisted development helps or creates risk.
Read article04/12/2026 · AI Research
Cursor's game jam requires 90% AI written code. That constraint makes it a useful benchmark for what agentic development can and can't do right now.
Cursor's AI game jam is a useful pressure test for agentic development, architecture decisions, and what happens when generated code has to become a playable product.
Read article04/12/2026 · AI Research
A timeline of experimenting with AI tools from ChatGPT through agent maxxing. What worked, what was overhyped, and how my thinking changed along the way.
A field report from years of testing ChatGPT, Claude, Cursor, aider, local models, and coding agents against real software projects.
Read article04/13/2026 · Projects
How I got a multiplayer Three.js game to load instantly in the browser. Asset pipelines, meshopt compression, texture atlases, and streaming GLBs without a loading screen.
The asset pipeline behind Mouse Trouble: meshopt compression, texture atlases, streaming GLBs, audio optimization, and browser-first Three.js performance.
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