One of the biggest takeaways from Chapter 3 of AI Engineering was realizing that building an AI model is only part of the challenge. Figuring out 𝗵𝗼𝘄 𝘁𝗼 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝗶𝘁 𝗳𝗮𝗶𝗿𝗹𝘆 𝗮𝗻𝗱 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲𝗹𝘆 can be just as difficult.
With traditional software, it's usually easy to tell whether something works. If a calculation is wrong or a test fails, you know there's a bu...
During my software engineering internship, I helped optimize our CI pipeline by identifying which E2E tests could safely run in parallel. That work quickly taught me that the biggest obstacle wasn't Playwright or Python, it was test isolation.
This article is about that lesson.
Cursor is the first AI code editor I have used that feels less like an autocomplete plugin and more like a place to steer work. It does not write perfect software. It changes the rhythm: ask for a scoped change, review the diff, then tighten it by hand.
This Cursor AI review is based on day-to-day developer tasks: reading unfamiliar code, editing React components, moving logic between f...
We had backups. Daily snapshots to S3. Perfectly configured. Never tested.
When we needed to restore after a data corruption incident, we discovered the backups had been silently failing for 3 weeks. The S3 bucket policy had changed, and nobody noticed.
Never again.
Backups don't ma...
OpenAI's GPT-5.6 preview is especially interesting for builders because access is tied to the API, Codex, or both for approved organizations.
That means the early users are not just prompting a chatbot.
They are using a model inside a software-building workflow.
The important SEO mistake would be to write another generic "what is GPT-5.6" article. The more useful questio...