Agents Are Already Writing a Language You Can't Read
Compression toward machine-preferred notation isn't a future bet. It's already landing in context formats, agent protocols, and the files your harness reads.
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55 posts on AI, page 2 of 5. Or browse the full writing index →
Compression toward machine-preferred notation isn't a future bet. It's already landing in context formats, agent protocols, and the files your harness reads.
Boundary-validate uploads in allow_upload before they cost tokens, then wire consume_uploaded_entries into Claude vision and PDF calls from LiveView.
Four Elixir options for schema-validated LLM output, scored on maintenance, provider coverage, retry behavior, and escape hatches.
ReqLLM emits token-usage telemetry; turning it into a per-customer invoice line needs an append-only ledger, integer-cent math, and idempotent writes.
Telling a junior to use less AI is advice with an expiry date. Move the quality bar off style and onto verification. Here's what that looks like.
Senko Rašić is right that “code was never the hard part” insults programmers. Peter Naur explained what it actually gets wrong, in 1985.
Return-to-office mandates are what companies reach for when they can't measure output. Agents just destroyed the last proxies that were limping along.
McKinsey didn't swap 25,000 people for AI agents. What its CEO actually said is more useful to founders, and changes the question to ask before hiring.
The consultant's playbook for taking over an undocumented AI-built app after the builder walks away: what to audit first, and how to price it.
Paul Graham’s schlep blindness, updated for 2026: agents made the fun half of your product free to copy, so the tedious half is the only part left worth owning.
What a sixteen-week embedded AI engineering rotation ships, month by month, from the first merge to the handoff artifacts that let it end.
Agent-era velocity is bimodal: the same feature can take 20 minutes or 3 days. How I scope, bill, and talk to clients about it honestly.