#github #markdown:abbr[MD]{#id .class title="Markdown"} for inline directives. Plugins exist for marked, markdown-it and remark. #html #markdown#github #markdown#document-conversion #html #markdown #web-dev#prompt-engineeringnode --experimental-sea-config sea-config.json builds standalone binaries.node: prefix for built-in imports. import { createServer } from 'node:http';node --watch file.js auto-reloads when file.js or dependencies change.node --env-file=.env loads .env as environment variables.node:test is a full-featured test framework with --watch and coverage.#markdown #optimization #easy#html#best-practices #future #learning #lesson #beliefspending/task-01.json moves to wip/task-01.json to done/task-01.json. Folders for state/tags, files for task details. #future#github #markdown#best-practices #chatgpt #code-agents #future #github #markdown #optimization #prompt-engineering#cloud#future #markdown_headers file to your repo. (This is different from the Zero Trust CORS which allows automated logins.) Sample _headers that lets logged-in users fetch pages via fetch("...", { credentials: "include" }): /*
Access-Control-Allow-Credentials: true
Access-Control-Allow-Origin: https://your-site.example.com
Access-Control-Allow-Methods: GET, HEAD
Access-Control-Allow-Methods: *
"type": "custom" that lets it write code as an argument to a tool call. Great for code / SQL generation. Even more powerfully, you can generate output following specific grammars, e.g. STL files, PostgreSQL dialect, Mermaid/PlantUML diagrams, OpenAPI specs, Vega-Lite JSONs, Cron expressions, GraphQL SDLs, Dockerfiles, Terraform HCLs, or any DSL! # #ai-coding #automation #code-agents #github #markdown #prompt-engineering#chatgpt #prompt-engineering#ai-coding #code-agents #llm-ops #writenpx -y ccusage is an easy way of summarizing your Claude Code usage and cost. My cost so far (since 21 July) is about $10. The median session cost is ~50 cents. Most of it ($7) was from a single temporary coding chat that I kept continuing for way too long, building up the context window. # #ai-coding#chatgpt#ai-coding #automation #code-agents #future#future #ai-coding#automation #future #markdown #prompt-engineering#llm-ops #voice-cloning #learning #lesson#llm-opsopenai-python has a CLI. You can run uvx openai api chat.completions.create --stream -m gpt-4.1-nano -g developer 'Translate to Chinese' -g user "Hello" for example #pythonhttps://api.anthropic.com/v1/.#automation #prompt-engineering #speech-to-text #voice-cloning #ai-codingpython asks it to use uv.#future #prompt-engineering #prediction