What Does It Take to Make Codex Part of Your Team's Dev Workflow?
Moving Codex from one engineer's side tool into a team's development process means settling four issues - task scope, verification, ownership, and lessons.
Notes / AI Coding
Topic
AI Coding
How engineering practice changes once AI writes code: constraints, boundaries, and how to accept the output.
9
notes
In this topic
All notes
Codex Subagent Models: Keep Judgment on the Main Thread, Send Repeat Work to Cheaper Tiers
How to assign GPT-6.1 Sol, GPT-6 Astra, and GPT-6 Luna to Codex subagents by role, which setting wins, and which reasoning levels each model supports.
How to Deploy a Website to Cloudflare Pages for Free in Four Steps
Connect a GitHub repo, set the build command, and add a custom domain to deploy a static site to Cloudflare Pages for free, with global CDN and free HTTPS.
How Should a Small Team Design Its First AI Coding Workflow?
Move a small team from ad hoc AI use to a dev process where AI takes part in requirements, coding, testing, and review, with written rules everyone follows.
Engineering Guardrails for AI Coding: From Writing Code to Constraining It
AI coding amplifies the engineering discipline you already have. Five guardrails keep output stable - behavior oracles, types, fast tests, traces, refactors.
From Coder to Agent Orchestrator: How AI Changes a Developer's Job
AI handles throughput and humans handle judgment. How developer work moves from writing code to system design, agent orchestration, guardrails, and review.
Robot Imitation Learning: Who Still Writes the Motion Script?
BeyondMimic tracks human motion on a real humanoid, from cartwheels to sprints. Waypoints, joystick control, and obstacle avoidance still need human-written costs.
GLM 5.3 API for Codex, DeepSeek Harness, and Oh My Pi
GLM 5.3 is now available on Baize API. Configure the OpenAI-compatible API for Codex, DeepSeek Harness, and Oh My Pi. New accounts receive $10 in starter credit.
Run Qwen3.8-27B Locally on Mac with Unsloth
Pick an Unsloth Dynamic GGUF from Apple Silicon unified memory, then run Qwen3.8-27B with Desktop, Studio, or llama.cpp. On 32GB Macs, use UD-Q4_K_XL (~17.9GB).
Start with a 30-minute call.
Find the first workflow to change.
Free. Remote, over video.