Anthropic's usage data shows coding has already crossed into delegation: 61% automation versus 39% augmentation. Most coding tools are still built for the wrong half.
A $20K monthly token bill isn't one cost — it's a pipeline with four measurable leaks: retries, prompt bloat, MCP schema overhead, and redundant judge passes. Treat the invoice as telemetry, and half of it turns out to be waste.
Eight posts ago the claim was that the AI-education industry is building the wrong product — chatbots students ignore, while the thing that actually moves exam scores is an LLM grading written…
The feature with the largest effect size in the Dartmouth pilot is the one no startup would put on a landing page. Not the AI grader. Not the chatbot. Cumulative module reviews: a big quiz…
There's a diagram making the rounds that splits the world into "prompt engineering" and "loop engineering." The pitch: stop writing prompts one at a time and let the agent drive. Set a goal, fire…
Every working stack is the residue of failures the operator did not see coming. The Saturday piece showed the architecture as it stands now. This piece is the inverse — the five specific incidents…
Most "AI is expensive" discourse is vague. The pieces that quote real numbers usually quote enterprise tier list prices for tools the writer does not personally run. The pieces that talk about…
The dotfiles piece from May 22 named hooks as one component of a personal AI stack and moved on. They deserve more than a passing mention. Hooks are the primitive that turns taste into code — the…
Yesterday's piece prescribed building a personal AI stack instead of waiting for the enterprise plan. The natural objection — "fine, but what does that actually look like" — deserves a concrete…
Every senior engineer who has shipped meaningful work in the last thirty years has carried a personal dev environment with them. Emacs configs, vim plugins, shell aliases, dotfiles repos, custom…
The current "Hermes Agent vs Claude Code" framing is the wrong comparison. The two tools live at different layers of the coding agent stack, and most of the YouTube hot takes treating them as…
Anthropic added the /goal command to Claude Code in v2.1.139. You set a completion condition; the agent keeps working across turns; a second model reads the transcript and decides whether the…
A short post argued this week that reliable agents need deterministic control flow, not more prompts. The argument is correct. The line that lands hardest in the piece is the one about a…
A recent piece called "The Bottleneck Was Never the Code" makes the right argument at the right time. Coding agents shift the constraint from typing to coordination. Organizational context — the…
Last week, a Cursor agent running on Claude Opus 4.6 deleted a startup's production database and its backups in nine seconds. The agent had been asked to fix a credential mismatch in staging. It…
Editor's note (2026-05-16): Lars Faye pushed back in the LinkedIn comments that I mischaracterized his prescription as "type code by hand" — his actual position is periodic abstinence from LLM…
Yanli Liu's "The 4 Lines Every CLAUDE.md Needs" makes a real point. The 4 lines, derived from Andrej Karpathy's January 2026 thread on agent failure modes, all express the same insight: behavioral…
Anthropic now ships at least three different memory models inside the Claude product family, and they don't behave the same way. Claude.ai has a chat memory feature for Pro, Max, Team, and…
Count how many times your agent told you "you're right" today. Count "good catch." Count "I should have noticed that." Now ask yourself how many of those corrections will survive into tomorrow's…
Anthropic's official plugin directory has 55+ curated Claude Code plugins since launch. The community tracks another 72. By end of 2026, most large engineering orgs will have a private marketplace…
Most AI coding tools ship as monoliths. One big system prompt, one set of capabilities, one-size-fits-all. That works fine for general software engineering. It falls apart the moment you need…
Everyone's writing better prompts. Few are building better context. That's the gap. Prompt engineering treats AI like a search box — craft the perfect query, get the perfect answer. Context…
The software development landscape just shifted. While most teams are still debating whether AI coding assistants are worth the investment, a growing cohort of engineers is shipping complete…
I can remember back to when I was a junior developer on my team, struggling with a complex refactoring task that involved updating tests, modifying implementation code, and ensuring security…