Practical guides on software engineering, AI systems, and product strategy — written directly by the engineers and architects who build them.
"AI agent" and "agentic AI" get used interchangeably, but they describe two different levels of autonomy. Here is the real distinction, where each one fits, and what actually goes wrong with agentic systems that skip the guardrails.
Most app rejections aren't about broken code — they're about missing a requirement that was documented, but easy to miss. Here's what both platforms actually check for, including the current 2026 SDK deadlines.
The model with the best benchmark score is rarely the right production choice. Here's what actually matters once real users and real cost are involved.
Not every generative AI feature is worth building. Here's a practical look at the ones that hold up in production, and what each actually requires under the hood.
A ranked "top companies" list can't verify team size, client outcomes, or ratings. Here's a concrete evaluation process you can actually use.
React experience on a resume tells you almost nothing. Here's what actually separates a React developer who'll ship a maintainable product from one who won't.
A ranked "top companies" list can't tell you which team will actually understand your curriculum, your compliance obligations, and your learners. Here's what to evaluate instead.
There's no single "AI developer rate" — cost depends on what you're hiring for, how you're engaging them, and how complex the actual AI work is. Here's how to think about it.
Insurance chatbots aren't about replacing agents or approving claims. Used well, they handle the repetitive, well-bounded parts of the process and free people up for the parts that need judgment.
A payment gateway project can mean integrating Stripe in a week or building a PCI DSS Level 1 platform from scratch. The cost gap between them is enormous — here's what drives it.
An AI voice agent for healthcare isn't one product — it's a stack of speech, language and integration layers, built around real constraints like HIPAA and EHR access. Here's how it actually comes together.
We publish in-depth architectural teardowns, AI benchmarks, and development guides twice a month.
