a guide to coding agents in production software (projects, startups & big tech)

practical guidance for choosing, operating, and reviewing coding-agent systems when the work has real users, real constraints, and consequences.

01 / taxonomy

understand the layers of every agentic system

it's important to know which layer holds the solution space to your bottlenecks

01

surface

cli, ide & app tradeoffs

terminal, desktop app, ide, web
02

harness

tools, runtime & memory

codex, claude code, qwen code
03

model

valuing inference

hosted, open-weight, local
04

orchestration

how parallel work is planned & coordinated

worktrees, agents, control planes

02 / operating models

compare setups most commonly used

03 / current guides

field notes with visible limits

how evidence works

codex

hands-on + source-verified

cli, desktop, ide, cloud, worktrees, permissions

claude code

source-verified, run pending

terminal, desktop, ide, agents, hooks, permissions

shared operating system

hands-on + inference

authority, worktrees, verification, handoffs

04 / reproducible field lab

the claims should survive inspection

the protocol records the task, base commit, runtime, interventions, checks, artifacts, redactions, and limitations. missing measurements stay missing.

inspect the protocol and runs

05 / latest material change

the repository becomes the publication

introduced the layered market model, evidence contract, field lab, and paired codex and claude code guides.

read changes