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News & AI insights
Release notes, agent workflow deep-dives, and field notes on shipping software with autonomous tooling — written for the people who actually run it.
We audited our agent pipeline against the new rules of context engineering. One rule we broke on purpose.
A week spent measuring every context surface trau assembles. Prompt text was never the cost, permission-style wording gets 0% uptake unattended, and auto-memory quietly broke cold verification.
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Trau 2.0: the hub
A CLI grew a web app, and then the web app ate the product. Why the loop needed a persistent surface — and what stays terminal-first.
2 min read
Why we run agents interactively, not headless
Metered -p API calls are fragile and expensive. Here is the case for driving real interactive sessions on the plan you already pay for.
1 min read
Loop mode: how trau fans a ticket out to its children
A look at the detection mechanism that decides when a task runs solo and when it spawns a labeled, ready-for-agent loop.
1 min read
Counting work like a human, not a stopwatch
Wall-clock time lies about effort. We explain how trau correlates machine seconds to human-equivalent work for standups and invoices.
1 min read
Picking the right model for each phase of a task
Claude, Codex, or Kimi — and at what effort? A practical guide to per-phase routing in .trau.ini for cost and quality.
1 min readMore posts coming soon — the herd is still writing.