19 articles
The most common trigger for an AI coding agent is not a clock, it is an event. A GitHub webhook, a Railway service, and OpenCode headless add up to a repo where a labeled issue gets a real pull request without anyone at the keyboard. The full build, start to finish.
Release notes nobody reads are a content problem with a mechanical fix: have a coding agent write the narration script from real git history, record the demo with Screen Studio, and let Descript narrate and edit it. A complete one-hour build.
An agent CLI plus a cron schedule turns recurring dev chores into background work: dependency bumps, doc freshness checks, morning briefs. The pattern, the guardrails, and where to run it - your own hardware or a cloud host.
A step-by-step guide to configuring an isolated Mac that Claude Code can fully control remotely - from SSH and Dispatch to phone-based control with Remote Control.
The architecture side of loop engineering: plan/act/verify cycles, convergence criteria, retry policies, budget-bounded loops, and the loop-until-dry pattern. Concrete TypeScript-shaped patterns for building agent loops that stop when they should.
A new benchmark shows GLM 5.2 processing 59 transactions and producing VAT returns off by only 7 pence - at $2.73 versus typical accounting fees of $1,000+. Here is what the benchmark actually tested, where the model failed, and why the HN discussion focused on liability.
A companion guide to the Codex Record & Replay video: OpenAI Codex can now record a recurring computer task and replay it as a reusable automation skill. Here is what the feature is and where it fits.
A companion guide to the Loop Engineering video: the shift from repeatedly prompting an LLM to building long-running loops, goals, and automations. Here is the core idea and where to go deeper.
Codex-Maxxing should mean bounded autonomy: AGENTS.md, small worktrees, explicit stop conditions, subagents only when work is separable, and review checkpoints that keep humans in control.
Goal, loop, routine. Three verbs, two tools, one hard part. A complete field guide to running agentic loops in Claude Code and Codex, the real commands, the patterns people actually run, and the two failure modes that burn money.
Claude Code Routines and Managed Agents scheduled deployments both run Claude on a schedule - here is how the triggers, pricing, and limits differ, and which one fits your recurring agent work.
codex exec is OpenAI's non-interactive mode for running Codex agents from scripts, CI pipelines, and GitHub Actions - here is how to set it up safely with real flags and working YAML.
Codex automations are useful when recurring engineering work has clear inputs, reviewable outputs, and safe boundaries. Here is the practical playbook.
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