Modern coding agents default to grep-and-read when they touch a new repo. That choice is expensive, slow, and produces brittle edits. A new wave of zero-dependency C++ tools is replacing that loop with a ranked, deterministic call graph — and the economics of AI-assisted coding shift with them.
Most tokens burned by an AI coding agent are spent on I/O and boilerplate, not reasoning. Here’s how to slash your bill by routing grunt work to a cheaper model while keeping your frontier model for the problems that actually need it.
Coding agents spend most of their budget on file and symbol discovery, not on actual reasoning. Here is how precomputed context graphs change that, and why it matters for every team shipping agentic dev tools.
Seven days of hands-on notes on OpenClaw: what to install, what to configure, how to model real workloads, and the operational habits that separate a successful rollout from a stalled one.
A field-tested walkthrough of your first week with DeepSeek Harness, from installation and prompt design to evaluations, tool wiring, and the operational habits that separate demos from production.