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Pierce Freeman

A browser for agents | Pierce Freeman The grey market of podcast appearances The way I travel | Pierce Freeman Fixing slow AWS uploads | Pierce Freeman Local tools should still use vaults We solved scratch content first Starting a podcast in 2025 Being late but still being early Automating our home video imports Adding my parents to tailscale A deep dive on agent sandboxes Language servers for AI | Pierce Freeman My simple home podcast studio We need centralized infrastructure | Pierce Freeman Coercing agents to follow conventions using AST validation My unified theory of social selling My personal backup strategy | Pierce Freeman July updates to the homelab How the KV Cache works httpx is the right way to do web requests in Python Reputation is becoming everything | Pierce Freeman Building a (kind of) invisible mac app Updated knowledge in language models Making an ascii animation | Pierce Freeman How speculative decoding works | Pierce Freeman Under the hood of Claude Code Doing things because they're easy, not hard Speeding up sideeffects with JIT in mountaineer Firehot for hot reloading in Python Misadventures in Python hot reloading How text diffusion works | Pierce Freeman The tenacity of modern LLMs The ergonomics of rails | Pierce Freeman How language servers work | Pierce Freeman Just add eggs | Pierce Freeman Unfortunately SEO still matters | Pierce Freeman The futility of human-only web requirements Setting up Input Leap | Pierce Freeman Checking in on Waymo | Pierce Freeman The react revolution | Pierce Freeman Speeding up many small transfers to a unifi nas Quick notes on swift libraries AI engineering is a different animal San Francisco | Pierce Freeman Debugging a mountaineer rendering segfault Local network config on macOS Building our home network | Pierce Freeman Introducing Envelope.dev | Pierce Freeman Legacy code and AI copilots Typehinting from day-zero | Pierce Freeman Generating database migrations with acyclic graphs Lofoten | Pierce Freeman Mountaineer v0.1: Webapps in Python and React Constraining LLM Outputs | Pierce Freeman Passthrough above all | Pierce Freeman How quick we are to adapt The curious case of LM repetition Costa Rica | Pierce Freeman Debugging chrome extensions with system-level logging Speeding up runpod | Pierce Freeman Inline footnotes with html templates Parsing Common Crawl in a day for $60 An era of rich CLI All or nothing with remote work The Next 10 Years | Pierce Freeman Adding wheels to flash-attention | Pierce Freeman LLMs as interdisciplinary agents | Pierce Freeman New Zealand | Pierce Freeman Representations in autoregressive models | Pierce Freeman Let's talk about Siri | Pierce Freeman Minimum viable public infrastructure | Pierce Freeman Reasoning vs. Memorization in LLMs Automatically migrate enums in alembic Greater sequence lengths will set us free On learning to ski | Pierce Freeman Dolomites | Pierce Freeman Using grpc with node and typescript Opportunity years | Pierce Freeman Buzzword peaks and valleys | Pierce Freeman Buenos Aires | Pierce Freeman Network routing interaction on MacOS Independent work: November recap | Pierce Freeman Debugging slow pytorch training performance The provenance of copy and paste Debugging tips for neural network training Patagonia | Pierce Freeman Santiago | Pierce Freeman My 2022 digital travel kit AWS vs GCP - GPU Availability V2 Independent work: October recap | Pierce Freeman Planning Patagonia | Pierce Freeman Relationship modeling | Pierce Freeman The power of status updates A new chapter | Pierce Freeman Give my library a coffee shop AWS vs GCP - GPU Availability V1 Switzerland | Pierce Freeman Headfull browsers beat headless | Pierce Freeman Webcrawling tradeoffs | Pierce Freeman Copenhagen | Pierce Freeman
Accuracy in kudos | Pierce Freeman
2024-02-14 · via Pierce Freeman

Self congratulatory atmospheres can be suffocating. When every small win is celebrated like it's sending a man to the moon, it can undercut legitimately impactful moments.

My rule of thumb for giving people kudos is:

  • Quantify the financial impact of what they've done (revenue or saved cost). Would this make someone in Finance or Ops say "dang, that's a lot of money".
  • Could anyone else have done this1? Is there some unique secret sauce that this person brought to bear?
  • Own successes and failures. If you're only advertising the times that you've succeeded, you make positive accolades into the din of background noise. Recap failed or delayed projects in similar channels, ideally with a RCA attached so people collectively can learn something.
  • Cite your sources. Include PRs, figma designs, and anything that can stand fully baked. Some features are deceivingly simple. Looking under the hood reveals what it actually took to make it happen2.
  • Write them in an email, not on Slack. Slack channels only reach the people that are already most engaged on a project. If you're trying to socialize success, let people (especially in the C-Suite) forward it via email.

Will these rules independently combat a self-congratulatory atmosphere? Probably not. But if you start here, you'll already be ahead of a lot of cultures that I've seen struggling from its consequences.

Footnotes

  1. It could be the specific approach, the delivery timeline they were operating under, etc. ↩

  2. It also helps executives understand tech debt. If something intuitively feels like it should be fast to change, but ended up being more complex - what's the issue here? Should we invest in a refactor or stack change to make it easier in the future? ↩