Claude Code, extended instead of wrapped in an app: one command for every project and account, work that moves to another account at a limit, subagents on a benchmarked model table that can retune itself, and a harness that reads its tools' news and repairs itself.
The local agent passed a controlled test and failed real work: tasks Opus 5.5 finishes in 10 to 30 minutes took it hours. It's gone, along with every agent that isn't Claude and about 452 GiB of disk.
And Fuck Sam Altman Too
My harness stopped Claude Code and Codex at 95% of their plan windows, even when usage credits could have paid for more. Now it checks for usable credits first, keeps working until they run low, and says so in the status bar.
What reasoning effort really changes in Claude Code, Codex and local models: thinking tokens, tool calls, cost, wait and usage limits. The evidence, the defaults that move under you, my own harness settings, and how to choose a level.
One API key, about 350 models, dozens of hosts behind the popular ones. A complete guide to OpenRouter: how its routing, prices and privacy really work, how coding agents plug in, and where it would fit a three-agent harness.
OpenCode on open-weight models, running on a MacBook Pro beside Claude Code and Codex: the agent that works when both are out of quota. Memory, prompt caching, uncensored models, self-updating lineups and a coding duel with Claude.
Agents now ship while I sleep. The scarce work moved from writing code to understanding it, and I think engineering, product, design and data will fold into one role. A short documentary and the case for the product builder.
An 8-minute documentary and a field guide to QMD, the local search engine that gives coding agents a memory: one real query traced stage by stage, the harness that makes agents use it, and the numbers from six months of daily use.
Anthropic's four certification exams cost $99 to $175, are proctored by Pearson VUE and are open only to people at Claude Partner Network firms. Who can sit what, how the exam works, how to prepare, and the free Academy courses for everyone else.
One old post brought in 24 of my 30 new subscribers in two weeks, every one labeled Direct, while Google sent almost nothing. Claude cites it, through links that drop the referrer. The evidence, a check you can run, and what it can't prove.
Google lists Nano Banana 2.1's 1K image output at $0.0336, about a sixth of what one Sunburst image at max cost me. Sunburst still leads all six independent leaderboard views I checked. Prices, Google's 4K discrepancy, features, and which jobs suit which model.