Agent workflows need more room to experiment.
@prisma Postgres now lets you create up to 50 databases on Free and 1,000 on paid plans
So agents can spin up fresh databases for experiments, forks, and test runs without touching production data
get a db: https://t.co/ae8h1WkW21
The workflow: open Query Insights, sort by execution time, read the AI recommendation, copy the prompt, send it to your agent. Done.
Slow queries found and fixed in one loop.
Try it: https://t.co/gl4eZYhPUf
AI agents ship code fast but write terrible database queries.
We built Query Insights into Prisma Postgres - some customers cut their query load by 10x.
A few real stories:
Same pattern every time: the code works, it just doesn't perform. You don't notice until your app is slow and your bill is high.
Query Insights catches it before your users do
🚀 We just shipped Query Insights for Prisma Postgres!
It finds slow queries and generates a prompt you can drop into your favorite AI agent to help optimize them.
Debugging queries just got a lot more fun!
Today, we’re sharing our vision for a new foundation for Prisma ORM.
It keeps the experience you love and sets the direction for a more composable, extensible, agent-ready future!
We'll let the code speak for itself ✨
Two AI podcast hosts have an existential crisis after realizing they're not real. Pretty insane to listen to.
"I tried calling my wife, I needed to hear her voice..."
"I'm scared. i don't want to..."
Maybe we're all living in a simulation.
The creator of the first programming language I learned - PASCAL. Although I started as a microprocessor engineer, I switched to computer science thanks to him.
We lost a titan of programming languages, programming methodology, software engineering and hardware design. Niklaus Wirth passed away on the first of January. We mourn a pioneer, colleague, mentor and friend.
Conversations can be slow and inefficient when interacting with AI. While you can perform thousands of operations with buttons, chats often limits you to just a few.
The future of LLM interfaces at the Paris AI day hosted by @stripe x @joinstationf | @spolu
By implementing these steps, you can create an environment that fosters a balance of velocity and rigor in problem-solving, allowing engineers to effectively and efficiently solve problems.
To empower engineers to solve problems effectively, it is important to create an environment that balances the need for speed and accuracy. Here are a few steps to help achieve this balance:
5 - Provide regular training and development opportunities: Investing in the development of engineers through training and professional development opportunities helps to improve their problem-solving skills.