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- Sahil Bloom (@SahilBloom)
- Julian Shapiro (@Julian)
- Brian Lovin (@brian_lovin)
- Lenny Rachitsky (@lennysan)
- Andrew Chen (@andrewchen)
Latest posts
The Mythical Man-Month, Reread in 2026: Why Adding Ten Subagents to Finish in an Hour Is the Same Curse as Hiring Ten People to Finish in a Month
An in-depth look at the GitHub project agent-mythical-man-month-2026 (《agent 时代的人月神话》): an 18-chapter reread of Fred Brooks' 1975 classic, written in the 2026 AI-agent context by one purposeful author plus several agents. Covers the core ideas (harness as a state machine, context as the only variable, the halting-problem prediction, Brooks' Law in dual forms, No Silver Bullet), design philosophy (one surgeon + an agent support team, three 10x effects, audit vs correction rights, documentation as source code), a detailed tutorial and an 18-chapter guide
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mise Deep Dive: Why "Your Dev Environment Before Every Command" Deserves a Dedicated Tool — A Rust CLI Unifying Dev Tools, Env Vars, and Tasks
Deep analysis of the GitHub project jdx/mise (mise-en-place): a Rust CLI that unifies dev tools, environment variables, and tasks in a single mise.toml. 32.5k stars, formerly rtx. Covers the core ideas (environment as preparation before every command, declarative three-in-one config, supply-chain security as a first-class concern, three activation modes), design philosophy (single binary, pragmatic vs Nix, compatibility over revolution, tasks as first-class citizens), a detailed tutorial, and a comparison with asdf/Nix/devbox
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Soup: Fine-Tune an 8B LLM on a 4 GB Laptop GPU with This One-Command CLI
An in-depth look at MakazhanAlpamys/Soup — a CLI-first LLM fine-tuning tool. Explore how Layer Streaming fine-tunes Llama-3.1-8B at 119.6 tok/s on a 4 GB GPU, how bit-exact testing proves correctness, why it chooses to refuse rather than warn, and the measurement-driven design philosophy behind it, complete with a full tutorial
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