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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
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Your database is down. Users are hitting errors, revenue is bleeding, and the on-call engineer is staring at a promotion sequence that's taking too long. The architecture decision you made six months ago is now the difference between a brief blip and ...
Part 2 of a two-part series on how Prisma ships software with AI agents, going deep on Drive, the development process, and the Maker role.
You can now run lint and typecheck on every Vercel deployment, in parallel with the build. Native Deployment Checks are available to every team and join your existing alongside GitHub and Marketplace integrations.Deployment Checks Once added from your project's , Vercel runs the matching script from your on each deployment, and skips the check if no matching script exists. You can mark a check as required to hold the deployment from production until it passes, and choose which environments eac
Only a few days remain to support the Django Software Foundation through our annual JetBrains fundraiser. You can now use the offer for new purchases and annual renewals. If your PyCharm Professional subscription expires this year, this is a great time to renew or extend it for up to 12 months. Get 30% off PyCharm Professional, and 100% of proceeds from qualifying purchases and renewals go to the DSF to help fund Django Fellows, community programs, events, and the future of Django. 👉 Offer ends
The AI industry has a compounding bottleneck, and it isn’t the models. It’s inference. What used to be a single model call has become a system of continuous interaction. Applications now orchestrate multiple models, retrieve and synthesize data, execute tools, and repeat this cycle in production. These are no longer stateless requests. They are dynamic systems that behave more like infrastructure than software features. Four shifts are redefining what infrastructure has to do: Inference has over
For decades, computational biology has operated under a reductionist compromise. To fit complex biological systems into the limited memory of a single GPU,... For decades, computational biology has operated under a reductionist compromise. To fit complex biological systems into the limited memory of a single GPU, researchers have had to deconstruct them into isolated fragments—single proteins or small domains. This created a context gap, where larger proteins or complexes could not be folded zer
Staleness in Kubernetes controllers is a problem that affects many controllers, and is something may affect controller behavior in subtle ways. It is usually not until it is too late, when a controller in production has already taken incorrect action, that staleness is found to be an issue due to some underlying assumption made by the controller author. Some issues caused by staleness include controllers taking incorrect actions, controllers not taking action when they should, and controllers ta
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