Improving the Release Process | Prisma
Learn how Prisma's release process uses dedicated beta periods to improve quality while keeping new features shipping quickly.
Insights
Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
Learn how Prisma's release process uses dedicated beta periods to improve quality while keeping new features shipping quickly.
We’re releasing the full version of Gym Retro, a platform for reinforcement learning research on games. This brings our publicly-released game count from around 70 Atari games and 30 Sega games to over 1,000 games across a variety of backing emulators. We’re also releasing the tool we use to add new games to the platform.
Next.js 6 features zero-configuration static exports, App Component, Babel 7 and more
This year, the Keynote started by highlighting our Open Source projects including showing the metrics of Next.js. With over 25000 stars on and over 10000 websites are already powered by it, we're incredibly amazed at its growth and love seeing the increasing amount of projects depending on it.ZEIT DayGitHub Read more
We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.4-month doubling time (by comparison, Moore’s Law had a 2-year doubling period)[^footnote-correction]. Since 2012, this metric has grown by more than 300,000x (a 2-year doubling period would yield only a 7x increase). Improvements in compute have been a key component of AI progress, so as long as this trend continues, it’s worth preparing for
Work with 360Softy
Book a free consultation and we will tell you honestly whether we can help.