I like standards and the Open Knowledge Framework from Google addresses a real problem I've had of structuring data for agent consumption. First the standard, next the cool tools

Prime and Fork - this is a strategy I use when needing to complete multiple tasks on the same context (think a big project). The approach is simple - load all the info into context then fork once per task. This saves tokens and time from constantly re-priming new session. Obvious, but few do it.

Is there a scientific way to determine which company produces the best software?

1/ I've just discovered ScreenPipe. Beyond automating my repetitive tasks, I see real value in using this for product research for those willing to share their data

For those who have moved from scrappy startup to successful scale up. What was the most impactful change you witnessed in your engineering function?

I often get asked as an Engineering Director how I make good decisions. It's simple really....

I think Anthropic's Model Context Protocol is the start of something big. It may even wipe out whole categories of SaaS businesses. I think the future will be a combination of workflow tools and AI

Drawing "Depends on" lines in a User Needs Map reminds me of the game Buckaroo. 🤔

Team topology is great for explaining how we want our teams structured and to interact. But what tools, models or diagrams are people using to show the impact this shift will incur on tech? @matthewskelton.com?

To those who say "we cant move too quickly, we work in a regulated environment" I say, those are only perceived barriers, they're not real, we deploy 90 times a week with 30 engineers.

I like this so far, but how do you mass add folks to your lists?