Only 34% trust synthetic data’s referential integrity — and it’s holding adoption back
While enterprise leaders overwhelmingly believe in the promise of synthetic data, adoption lags. As a result, synthetic data has great, The post Onl…
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Agents have made CI the bottleneck. Faster pipelines are the wrong fix.
Three posts landed in September that I think engineering leaders should read together. Anthropic’s engineering team wrote that their continuou…
One engineer shipped 2,000 PRs a month to production. Verification is the key.
Lauren Tan, an engineer on the Grok team at SpaceXAI, who previously worked at Cursor and Meta, recently published a The post One engineer shipped 2…
AI broke code review. Two experts disagree on what replaces it.
Ask two experienced engineers about how to handle the flood of AI-generated code in their review queues, and you’ll get The post AI broke code…
How routing keys isolate Kafka consumer tests on a shared broker
A change to a service that consumes from Kafka is not validated until it has run against the real system: The post How routing keys isolate Kafka co…
Test data wait times are slowing AI adoption more than code ever did
We removed friction from code delivery and exposed a bigger one: test data delays. For years, the software delivery conversation The post Test data…
Greptile, Cursor, and Devin agree that agents should run their code. What they run it against matters.
The industry has recognized that shipping agent code at scale requires runtime verification, and it is moving that way fast. The post Greptile, Curs…
CI wasn’t built for coding agents. Here’s what comes next.
For years, integration tests have lived inside CI pipelines, triggered on push and answered ten, twenty, or thirty minutes later. The post CI wasn&#…