Hard-won lessons for AI, management and software engineering
Detailed techniques and prompts for AI-first coding, for experienced developers to build medium-sized production-ready codebases, providing lots of architecture-level product guidance but without writing a line of code by hand.
Demoing techniques for AI-assisted programming live with Cursor in London on Tuesday evening (18th Feb 2025).
Every company needs a central place to store and find information. This article explains why Notion is often the best choice for this "glue system", when you might want to use other tools instead, and how to handle the migration if you're currently using something else.
Huge thanks to Rob D Willis of Super-Powered for a great conversation, on: • The reason your training programmes keep falling flat • Why making mistakes might be your secret weapon • The counter-intuitive approach that transformed his data team in 12 months
A practical guide to AI-assisted development, where coding becomes a true partnership with AI. Drawing from hundreds of hours of experience, learn concrete patterns and practices for achieving 2-5x productivity gains while keeping AI's power safely contained.
The ease/value ranking is a great way to whittle a big list of product or strategy ideas down to a prioritised backlog, or as a starting point for discussion.
How do you feel about the relationships between your Engineering, Commercial, and Product teams? Even in a healthy company, there will always be structural tensions between these teams, because their goals and needs are in tension. But just as in a suspension bridge, that tension is the key to holding
Project Kickoff meetings help you see potential problems with new projects, and get stakeholder buy-in
Programming is the closest thing we have to magic in the real world. And your team can dramatically outpace larger teams if you work on these multiplicative factors.
Every time something goes wrong, or could have gone better, run a blameless, five-whys-inspired Postmortem to figure out how you could improve going forwards.
What phrase do you find yourself using that contains the most wisdom per word? Here’s my data science mantra (and why I love the super-concentrated wisdom of it).
I was recently honoured to be a guest on The GrayMeta Podcast - Metadata Matters. In this podcast, I have the opportunity to discuss my perspective on Metadata and how to structure human teams to effectively work with data generated by machine learning.
What do you do when things don’t seem to be behaving the same way now that they did before? Here are a few techniques to avoid that dread scenario.
aka How to have a conversation productively with 10 people at once (aka How to run brainstorms like a pro)
Wrong answers matter in different ways for a retina scanner outside a bank vault vs a cancer detector. This is why you need to understand precision vs recall.