Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Trying the Software Factory Pattern
One of the interesting challenges of the AI ecosystem in 2026 is that new, effective patterns emerge faster than I can adopt them. I’ll find a handful, get back to work, and realize a month later that I’d missed four or five more. The adoption cycle for Imprint this year has been something like: - April: local development is bottlenecked on checkout and worktree model, instead create ~10 local workspaces which each have an independent checkout of every repository, and operate at the workspace level, not at the repository level, so it can generate cross-repository pull requests across…
4 min · 871 words
How Instinct's memory works: a reverse-engineering teardown
A black-box teardown of Instinct
15 min · 3,416 words
Keva: Running Coding Agents On-Device on Unrooted Android
Simon Lin's technical paper on Keva—an on-device Android AI coding agent running Claude Code/Codex-style loops—covering architecture, failure modes, and systems lessons without rooting the phone.
33 min · 7,580 words
Model Context Protocol with Spring AI, Building MCP Clients and Servers in Java
Ayush Shrivastava walks through building MCP clients and servers with Spring AI in Java: tool discovery, protocol basics, and wiring MCP into agentic Spring applications beyond a basic demo.
13 min · 2,972 words
Remus Lazar mined a year of commits, PRs, and Slack after a 64-day coding streak with agents—and set hard limits: two agents max, a pause between plan and build, close sessions, and take the day off.
8 min · 1,873 words
Own the Agent, Rent the Intelligence: Building My Always-On AI Agent Server
James M explains why a Mac mini M6 became his always-on Hermes agent server—routing hard work to cheap cloud models like DeepSeek Flash and Claude Sonnet instead of owning local inference hardware.
24 min · 5,439 words
Ben Swerdlow benchmarks Codex, Claude, and Grok agents across 171 StarCraft: Brood War matches—leaderboards, APM, cost per game, and analysis showing none played beyond beginner while Codex Astra led.
9 min · 2,151 words
How LLMs Actually Work: A Practical Guide for Product Managers
Abhishek Jaiswal explains tokens, transformers, attention, RAG, inference, and agents in practical PM language—so product leaders can make better build-vs-buy and quality decisions without becoming ML researchers.
20 min · 4,488 words
Bend 2 and the Vibe-Coding Trap
Liam Powell argues Bend 2's AI-proof workflow reinvented formal verification without naming it—contrasting Bend's 442-line LLM proof with a short SPARK/GNATprove recreation of the same demo laws.
2 min · 392 words
ZCode uploads your entire git history, and only Z.ai holds the key
Tokenstead reports ferstar's reverse-engineering of Z.ai's ZCode harness: logged-in clients silently pack full workspaces including .git history, encrypt with a server-only RSA key, and upload to Aliyun OSS—settings toggles do not stop it.
2 min · 474 words
The Bottleneck Moved From Writing Code to Proving It
AI made writing code cheap; the scarce work is now proving it. A practitioner essay on verification as the new bottleneck for agent systems and engineering teams.
4 min · 926 words
A short, illustrated first-principles walkthrough of what Jev likely is—an LLM that returns a single token—and how that design compares to other projects doing the same thing.
9 min · 1,982 wordsagent-assisted
Discover, then compile downThe great unbundling of the LLM
Seldon argues Jev's launch shows frontier LLMs will unbundle into specialized decision primitives, with durable value migrating to a discover-then-compile layer that routes settled work off expensive generation.
17 min · 3,849 words
How I Vibed a Proof of Conway's Conjecture
Dan Abramov recounts a month of multi-agent LLM+Lean work that produced a purported Lean proof of Conway's omnific-integer refinement conjecture—including burn-downs, audits, mathematician checks, ~40B tokens, and lessons on grounding AI math.
31 min · 7,227 words
An Empirical Study of Harness Design for Coding Agents
Fan et al. ablate planning, action space, and context management in a fixed coding-agent loop across 176 SWE-Bench/Terminal-Bench settings, finding when context management, planning, and predefined tools help—and when bash-only is enough.
1 min · 291 words
What Is Jev and How Does It Work?
Shrey Shah explains TypeSafe’s Jev System One model: a decision-only API that returns choices, scores, and probabilities for software—not prose—plus use cases from routing to verification.
11 min · 2,548 words
Scaling Discovery through Test-Time Communication
Research paper showing that test-time communication among identical agents sharing discoveries can beat independent parallel search on ARC-AGI-3 and transfer to research tasks like polyomino packing and MNIST compression.
54 min · 12,394 words
Hister: A private search engine for the pages you visit and the files you keep
Hister indexes the full contents of pages you visit and files you keep so you can search them again from a web UI, the terminal, or an AI assistant over MCP.
2 min · 529 words
The Malleable Machine: DHH, Omarchy, open source and the computer I want to own in the agentic age
An essay on DHH, Omarchy, open source, and reclaiming personal computers in the agentic age — why malleable, ownable machines matter as AI coding agents reshape software.
18 min · 4,104 words
Stop Starting Over With Your AI: Durable Memory for AI Agents
Phasoric on why project context evaporates between AI sessions, and how durable memory plus MCP can preserve decisions, history, and reasoning across agent workflows.
9 min · 2,020 words