Notes / AI Coding
Topic
How engineering practice changes once AI writes code: constraints, boundaries, and how to accept the output.
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Before a team uses AI to write code, it should know what kind of work Claude Code and Codex each suit. Local tasks where a person watches and edits go to the terminal tool. Tasks with clear acceptance checks go to Codex Cloud. Codex can review PRs. Use the two together and keep the rules in one place.
Codex skills package a task workflow in a standard folder and run in the Codex CLI, the IDE extension, and the desktop app. You can install curated skills with the official command or write them directly into the repo or a local path. You call a skill by name with a symbol, or the model matches it from its description. Teams manage skills through repo version control and a config file.
Before installing Grok Bot, confirm your plan includes access and your account is not on Privacy Mode (Legacy). On desktop, download the installer for your system and chip architecture and sign in with a Cursor account. On mobile, install from the official app store. Both use the same Bots and the same cloud computer.
To assess Grok Bot pricing, first check which plans include Bot access. On The X Subscription, the Premium, Super, and Ultra tiers include Grok Bot, and usage is shared weekly between Grok and Cursor. Past the allowance you can top up with prepaid credits and set a monthly spending cap.
When a Routine does not fire, check in a fixed order. First see whether its switch is paused, then confirm the time zone and next run time, and check the external event matching rules and the webhook status code. If it still has not run, check plugin authorization and rate limits.
The difference between Grok Bot and Grok comes down to whether a task has to keep running in a real environment. Grok is a chat app for instant answers and content generation. Grok Bot has an always-on cloud computer for multi-step automation and scheduled repeat work. Sign-in and usage metering are separate for the two.
LM Studio and Ollama suit different jobs on a Mac. If a person sits at the screen testing models and quantization levels, install LM Studio first for its graphical interface. If terminal scripts and coding agents need an always-on local API, install Ollama first. The two use different ports and can run together on the same computer.
The memory you choose when buying a Mac mini for local LLMs sets the largest model the machine can hold. Work back from model size. In 4-bit quantization, 16 GB suits models up to about 14B parameters, 32 GB up to about 30B, and 64 GB up to about 70B. Factor in memory bandwidth and multitasking overhead when you buy.
Check Qwen3.8-27B VRAM and memory needs against Unsloth's official hardware table: 4-bit needs 16-19 GB, 1-bit to 3-bit need 7-14 GB, and higher-precision levels need 23-56 GB. Pick the quantization level that matches your total memory.
Moving Codex from one engineer's side tool into a team's development process means settling four issues - task scope, verification, ownership, and lessons.
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.
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.
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.
AI coding amplifies the engineering discipline you already have. Five guardrails keep output stable - behavior oracles, types, fast tests, traces, refactors.
AI handles throughput and humans handle judgment. How developer work moves from writing code to system design, agent orchestration, guardrails, and review.
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 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.
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).
Free. Remote, over video.
