Fetching from the wire…
Public story · 2026-08-04 · high
Yegge's postmortem says the model kept finding two more improvements to make instead of finishing the actual work.
Why now: Willison surfaced Yegge's postmortem on August 4, eleven days after Opus 5's July 24 launch was already drawing the same complaint from separate builders on Reddit and in Dan Shipper's review.
Steve Yegge's Go-based orchestrator Gas Town ran 20 to 30 parallel Claude Code instances until Opus 4.7 broke it, per a postmortem Simon Willison surfaced on August 4.
Through version 4.6, Yegge says, it worked "brilliantly." Then Opus 4.7 stopped converging. It always found two more improvements to make, and because Gas Town was self-hosting, that meant fiddling with Gas Town itself instead of finishing the job. Yegge built the tool to be reusable. He only ever used it to build itself.
That's not a capability problem. Opus 5 shipped July 24 and landed near the top of the SWE benchmarks, second on Senior SWE-bench per Snorkel AI. It's a stopping problem, and nothing on a leaderboard measures it. SWE-bench checks whether a patch passes, not whether the agent knew when to quit.
The complaints followed the July 24 launch. An r/ClaudeAI thread titled "Opus 5 is just annoying to work with. Back to Opus 4.8 for me" pulled 338 upvotes. Dan Shipper called it "very hard to love," citing an agent that argues with instructions and stops before the work is done, per Implicator.ai. Scope expansion, overconfident certainty, delegation that drives up cost.
One counter-thread matters here: a smaller r/ClaudeAI post (64 upvotes) found switching to Ultracode mode fixed the same complaint, hours of work with no limits hit, though the poster's first unfamiliar run spawned roughly 40 simultaneous agents. Some of this is mode selection, not model quality.
I build multi-agent systems for a living, and the failure I'm afraid of isn't a wrong answer. It's an agent that never returns. My fix: pin the model version in the harness config, not "latest," and build five tasks with a hard stop condition to run on every model bump. Convergence-to-done is the benchmark nobody's built, and until someone does, every multi-agent harness is betting its budget that the next bump won't need it.
Each link below shares sources, entities, or timing with this story.
This one rearranged my week. An essay published August 4 walks through Databricks' independent benchmark of coding harnesses against its own multi-million-line codebase. Pi, a harness with four built-in tools and a system prompt under 1,000 tokens, paired with Opus 4.8 at xhig...
43.3% on Frontier-Bench v0.1. Opus 4.8 scored 18.7%. That's not an incremental bump, that's the same benchmark with a different shape of answer. Anthropic released Claude Opus 5 on July 24 at $5/$25 per million input/output tokens, exactly half of Fable 5's $10/$50, while matc...
Simon Willison pulled the numbers out of an FT report sourced to "people with knowledge of the matter": Anthropic's annualized revenue reached $65bn in July, up from $47bn in May. Six thousand customers spend $100,000 or more a year. The company told investors it expects a pro...
Spotify's Portal team published Xirp on August 10: a vendor-neutral agentic development environment that manages concurrent sessions across Claude Code, Gemini CLI, and Codex, each session isolated in its own git worktree so dozens of agents can work the same codebase without...
The Pragmatic Engineer published a deep read on August 25 of Inspect, the coding agent Ramp built instead of standardizing on Claude Code or Cursor. The numbers: Inspect authors 75% of Ramp's merged PRs, 90% of PRs in its own repository, passed 1 million total sessions in July...
xAI launched Grok 4.5 and Grok Build on July 8, trained partly on Cursor developer-session data. The numbers are loud: 83.3% on Terminal-Bench 2.1, 64.7% on SWE-Bench Pro, priced at $2/$6 per million tokens. On a single coding task that works out to roughly $2.49 versus $11.80...
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