Tools are the things we build that we don’t ship—but that very much affect the artifact that we develop.
It can be tempting to either shy away from developing tooling entirely or (in larger organizations) to dedicate an entire organization to it.
In my experience, tooling should be built by those using it.
This is especially true for tools that improve the artifact by improving understanding: the best time to develop a debugger is when debugging!
Recent articles
- Slop is the new name for unwanted AI-generated content - 8th May 2024
- Weeknotes: more datasette-secrets, plus a mystery video project - 7th May 2024
- Weeknotes: Llama 3, AI for Data Journalism, llm-evals and datasette-secrets - 23rd April 2024
- Options for accessing Llama 3 from the terminal using LLM - 22nd April 2024
- AI for Data Journalism: demonstrating what we can do with this stuff right now - 17th April 2024
- Three major LLM releases in 24 hours (plus weeknotes) - 10th April 2024