Ideas, engineering, and lessons from the field.
Practical thinking on AI, software, infrastructure, and building technology that works in the real world.
How to Scope a First Version of a Software Product
A first version should prove one thing with one group of users. How to cut a feature list down to that without cutting what matters.
PostgreSQL for Growing Applications: Indexes, Queries and Limits
Most database slowness in a growing application comes from a few known causes. How to find the slow queries and what usually fixes them.
Measuring Chatbot Quality: What to Track After Launch
Launch is the start of the work on a chatbot. A small set of measures and a weekly review keep quality from drifting.
No-Code Automation or Custom Build: How to Decide
No-code tools are the right choice more often than developers admit, and the wrong one more often than their marketing suggests.
How AI Search Reads Your Website and What to Change
AI assistants answer questions by reading pages like yours. Being quoted correctly depends on a few plain properties of your content and code.
Document Processing with AI: Invoices, Forms and Email
AI can read documents that older tools could not. What makes it dependable is the checking around the model, not the model alone.
SPF, DKIM and DMARC Explained for Business Email
Three DNS records decide whether your email reaches the inbox. What each one does, how they work together and how to set them up safely.
From Business Problem to Production: A Practical Software Development Process
The projects that go smoothly aren't the ones with the cleverest engineering. They're the ones that started with a clearly understood problem.
Do You Need Kubernetes? An Honest Answer for Small Teams
Kubernetes solves real problems that most small products do not have. How to tell whether you do, and what to use if you do not.
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