
Your Coding Agent Needs a Map, Not a Bigger Context Window
Why coding agents need compact repository maps, ownership boundaries, and verification paths more than bigger context windows.
9 posts

Why coding agents need compact repository maps, ownership boundaries, and verification paths more than bigger context windows.

Why a green cron exit can still mean failed work, and how to verify agent jobs by checking useful output instead of process status.

A field report on changing an LLM backend cleanly: where provider abstraction helps, where costs shift, and what still needs verification.

How to detect zombie AI agent pipelines with freshness checks, artifact validation, and downstream proof instead of trusting running processes.

Why model portability matters more than benchmark wins when AI coding tools must survive cost shifts, outages, and real legacy codebases.

A pragmatic guide to choosing AI agent frameworks by operating model, integration cost, lock-in risk, and production failure modes.

What actually breaks when you run AI agents on cron 24/7 — zombie tasks, subagent black holes, and the architectural patterns that make autonomous pipelines reliable.

OpenCode hit 160K GitHub stars and dethroned Cursor as the #1 AI dev tool. Claude Fable 5 launched with record benchmarks — then got suspended 3 days later. Here's what actually matters for your workflow.

Z.AI's GLM 5.2 (744B MoE, 1M context, MIT license) tops open-weights benchmarks and runs coding agents at frontier level. Full breakdown.
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