How does an expert software developer actually talk to an AI coding agent? We analyzed 2,796 prompts across 626 sessions from @badlogic's publicly shared pi-mono transcripts. The answer is: like a startup founder talking to a senior dev who keeps overstepping.
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| # Virtual memory settings. | |
| # Kernel documentation: https://docs.kernel.org/admin-guide/sysctl/vm.html. | |
| # Arch zram: https://wiki.archlinux.org/title/zram#Optimizing_swap_on_zram. | |
| # Gaming tuning: https://pastebin.com/fwzW9whL. | |
| # PopOS tuning: https://github.com/pop-os/default-settings/pull/163. | |
| # MaxPerformanceWizard (MPW) https://gitlab.com/cscs/maxperfwiz/-/blob/master/maxperfwiz. | |
| boot.kernel.sysctl = { | |
| # Tunes how aggressively kernel evicts memory pages until a specific amount of free memory is left for your active working set | |
| ## Sweet spot for gaming is 125-200, near 200 makes kswapd swap too aggressive |
| #!/bin/bash | |
| # simple script to 'start' nvmet on TrueNAS SCALE | |
| # | |
| # to reinstall nvmetcli simply rm /usr/sbin/nvmetcli | |
| # debug | |
| #set -x | |
| # exit non-zero |
- https://www.who.int/health-topics/disability#tab=tab_1
- https://www.accessibility.com/complete-report-2020-website-accessibility-lawsuits
- https://arstechnica.com/tech-policy/2019/10/accessibility-the-future-and-why-dominos-matters/
- https://www.applause.com/blog/what-dominos-case-means-for-accessibility
- https://www.levelaccess.com/winn-dixie-decision-florida-sets-landmark-precedent-digital-accessibility/
- https://www.bigdropinc.com/blog/risks-non-ada-compliant-website/
- https://go.applause.com/rs/539-CKP-074/images/dont-leave-accessibility-to-chance.pdf
- https://www.rivkinradler.com/publications/judge-weinstein-deep-dive-website-accessibility-lawsuits/
- https://www.lflegal.com/2020/03/bank-of-america-at-20/
- https://www.lflegal.com/faqs/#Structured-Negotiation-Questions
| #!/usr/bin/env bash | |
| # import an MS SQL .bak backup file to an MS SQL database, then export all | |
| # tables to csv. run this script as `import.sh <filename>`. It expects to be | |
| # run in the same directory as the backup file. | |
| # this is only tested on my mac (OS X Catalina). I tried to stick to posix, but | |
| # It will probably require some tweaking for you. I hope it gives a general | |
| # sense of what you need to do at the very least. |