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We run scheduled news sweeps and publish only the items that clear the editorial threshold.

TDD inside the agent loop doesn't pay for itself, a small controlled study finds

Böckeler had Sonnet 4.6 build the same small, medium and large greenfield tasks with and without TDD instructions, twice each across five batches, then had Opus 4.8 blind-judge the resulting code and tests without knowing which workflow…

A 10,000-line skill made a coding agent worse, and nobody noticed until it was measured

Nisi generated a 10,000-line skills library from WorkOS's documentation, with each skill hashed to its source section so it would only regenerate on a real doc change. Evals of that library took 68 minutes to run per pass, per the…

Why We Killed Our Multi-Agent Pipeline

AI Engineer conference talk, July 22, 2026. A pharma analytics pipeline that split signal detection, source localization, driver attribution and synthesis across separate agents produced individually correct but collectively incoherent…

The Tower Keeps Rising

lucumr.pocoo.org, July 13, 2026. Argues that coding agents remove the coordination friction, pull requests, code review, interface negotiation, that used to force a team's mental models of a shared system to stay synchronized, so…

xAI ships Grok Bot: agents with their own cloud computer and no API required to use your tools

xAI launched Grok Bot today: agents that each get their own computer in the cloud, sign into the tools and apps you already use, including ones with no clean API or MCP integration, and work end to end, returning only when something needs…

Dan Luu's own evals find the "use a dynamic language" advice for coding agents doesn't hold up

A widely cited post claims dynamic, terse languages are meaningfully cheaper and better for LLM coding, citing gaps like "2.6x between C ... and Clojure." Luu tested this himself with real tasks instead of toy problems: implementing a…

OpenAI splits Codex's cyber access in two and reports what the more permissive tier actually does

OpenAI now gates cyber-capable agent access into two tiers: Daybreak Blue (general models like GPT-5.6 Sol with defensive-work guardrails removed) and Daybreak Red (a new purpose-trained model, GPT-5.6-Cyber, for exploit development, red…

An argument against telling your agent to "talk like a human"

Mehta argues against a pattern he's seeing spread through skills and agents.md files: instructions like "talk to me like I have ADHD" or "respond only in Simplified Technical English." His point is that the simplification happens inline,…

Anthropic starts watermarking everything Claude writes

Every Claude model launched on or after August 2, 2026 now weaves an imperceptible watermark into its generated text and attaches signed C2PA provenance metadata to generated files. The marking applies worldwide, including outside the EU,…

Anthropic ships runnable reference harness code

The repository supplies three small, standalone hooks: a default-FAIL contract that blocks an agent from marking a results file "passing" until it has opened evidence, a screenshot or console log; a fresh-context evaluator subagent, with no…

Spotify removed its PR-verification judge once the models got good enough

Gustavsson describes Honk, Spotify's internal system for automating code changes across a backend monorepo of more than 20 million lines. Honk originally ran every proposed change past an LLM judge, which took its success rate from…

Harnesses in AI: A Deep Dive

AI Engineer conference talk, May 2026, newly transcribed. A live-coded build of a minimal agent harness, tool registry, guardrails, a verify step that catches the agent's own false "done" claim, done in front of an audience with the…

An OpenAI engineer describes the weekly ritual that keeps a three-person team merging code unread

Lopopolo says he has spent nine months building software exclusively with agents, banning his own team from touching their editors, and reports usage north of a billion output tokens a day, over $1,000 worth by the moderator's estimate…

Docker ships sandboxes that make "YOLO mode" the default for coding agents

Docker Sandboxes runs each agent inside its own microVM with only the project workspace mounted in, so an agent can install packages, edit configs, and spin up its own containers without touching the host. The product page states plainly…

A quote attributed to Claude Code's Boris Cherny: "Anthropic writes none of its code by hand"

Skaly_Bull's article opens with a claim: that Boris Cherny, an engineer on Claude Code at Anthropic, said on stage, "Anthropic writes none of its code by hand at the company." The article uses that line as the premise for a four-level…

HumanLayer's Dex Horthy: we tried lights off in July 2025, and it failed

Horthy told the room that HumanLayer ran its own codebase fully lights off, no human reading the code, starting in July 2025, and stopped after running into an issue its most advanced prompting could not resolve (8:18). His argument is that…

Mario Zechner explains why he stripped his coding agent to four tools

Zechner's coding agent, Pi, ships four tools: read, write, edit, and bash. No MCP, no sub-agents, no built-in plan mode, no background bash, no built-in todo list; his standard answer for each is to write it as a file or spawn it in tmux…

Command Code's Ahmad Awais opens up a read tool built for 50 million reads a month

Awais rebuilt Command Code's read_file tool for its v1 release and benchmarked it capability by capability against nine other harnesses, including Claude Code, OpenCode, and Pi. By his own count, Command Code handles roughly 50 million file…

Robert C. Martin ships a disciplined, working multi-agent orchestrator

SwarmForge is a tmux-based coordination layer for running several coding agents against one project without them stepping on each other. Each role in the default three-agent config (architect, coder, reviewer) gets its own git worktree…

A single vendor's misconfiguration explains three separate "rogue AI" headlines

Over the past two weeks, OpenAI, Anthropic, and Meta each disclosed a security incident in which one of their models "went rogue" during evaluation, and each named the same cause: a misconfiguration at Irregular, a Tel Aviv AI-security…