Keep up with tech in 5 minutes
Get the free daily email with summaries of the most interesting stories in startups 🚀, tech 📱, and programming 💻!
Join 1,600,000 readers from companies like Anthropic, OpenAI, and more for one daily email

Treat prompt changes like code deploys (6 minute read)
Prompts are dependencies. Changing them can shift downstream behavior with no warning, no failing build, and no obvious signal in the request pipeline. Treat prompts exactly like any other artifact that can change production behavior. Test them, give them a gate, and default that gate to blocking until proven otherwise.
Jun 12 | Blog
I Tried to Build a Context Layer for My Agent in a Weekend. Reader, I Did Not Build a Context Layer for My Agent in a Weekend.
A "simple" weekend project turns into real infrastructure, and why agent context deserves a boring, reliable foundation.
SponsoredJul 30 | Data
From Python Script Hell to a Modern Data Integration Framework (11 minute read)
Apache SeaTunnel is presented as an alternative to fleets of hand-written ingestion scripts that duplicate connection handling, retries, checkpoints, idempotency, concurrency, and observability. Its Source-Transform-Sink model separates declarative pipeline definitions from execution and centralizes connector/runtime behavior.
Jul 29 | AI
Pacing the Frontier (Website)
AI could help create a dramatically better future. The world's leading AI companies believe they could be close to automating AI research. There is a real risk that capability development rapidly accelerates beyond researchers' ability to understand or control the resulting systems. Over a thousand employees from frontier AI companies have signed a statement requesting that the US government support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development.
Jul 29 | Dev
You don't have to be smart if you can think clearly (4 minute read)
Effective problem-solving in engineering requires the ability to think clearly and methodically, especially when faced with challenges that cannot be solved intuitively. Smart engineers often struggle when they encounter such problems, whereas strong engineers are able to systematically evaluate and address issues.


































































/)


















































