AI Coding Field Notes

Field notes on AI coding agents — what they cost, where they break, what shipped. Every published figure (prices, percentages, multiples, token counts and durations) as JSON and CSV, each row carrying the sentence it came from.

View the Project on GitHub xyzs996/ai-coding-field-notes

AI Programming

4 of the 24 write-ups here are tagged AI Programming. Every figure quoted below is in the figures table with the sentence it came from.

Beyond Chat: How Codex Can Automate Your Word/Excel/PPT/PDF Workflows

Codex’s office automation capabilities, which are severely underestimated, can be transformed into powerful document processing agents, as shown by real-world developers, one of whom automated PDF…

The First Line of Defense in AI Programming: Environment Variable Management

MonkeyCode ships with 900 million free tokens and supports private deployment, which tells you exactly what its users are doing: pointing an AI coding tool at their own keys, on their own infrastru…

The Hidden Costs of GPT-5.6 Model Selection: A Developer’s Real-World Guide

“Choosing the right GPT-5.6 model for your business is more about avoiding cost overruns than just picking the cheapest option.”

Why Pi’s 1000-Token Agent Engine Needs a Sandbox Before You Touch It

Pi’s system prompt and its 4 tool descriptions come to under 1,000 tokens, which is the whole reason to like it.


All 24 write-ups