Wanted to share my thoughts on the 5 types of metrics I believe you need as a software engineering team to know if you're continuously improving:

• Speed
• Volume
• Engagement
• Quality
• Impact

Thread👇 👉 Speed 👈 tells us the avg. time spent on work. Personally I am a big believer of Lead Time (from starting work to it being released in production) and breaking down the average time spent in each step of your software delivery pipeline (e.g. avg time to review/merge/release)

For my first tweet storm, I wanted to share a bit about the @sourcedtech open-source stack and how recent releases and announcements fit into the bigger picture.

In the coming years we believe #MLonCode will start to drastically change developer tooling in the following areas: * Security & Compliance
* QA & Testing
* API Understanding
* Code Review/Quality

For #MLonCode to make an impact in these areas we believe the following ingredients are needed:

It's been 9 months since I became aware of the work @EntropyFarmer & @Miau_DB were doing in obscurity on tackling Artificial Intelligence.

This public release today sets new world records on many Atari games.

This thread tells part of the story:

github.com/FragileTheory/… This release of FractalAI, shows a vastly more efficient and completely different way to do imagination based planning (deepmind.com/blog/agents-im…). Providing a highly efficient way to balance exploration of state space, of RAM or pixels, with exploitation.