The conversation about agentic AI usually centres on the models. That is understandable, and it can hide a more important point. The scalability of agentic AI is set less by how sophisticated the model is than by how mature the…
October 14, 2026. Wednesday. A field on the screen remains empty. In the code, that emptiness is null. There were nights when I read null as nothing. If it is nothing, I could just put some character in to fill the screen.
Building subscription functionality in a fitness app development requires more than integrating Apple StoreKit or Google Play Billing. A successful payment doesn't automatically mean a user should receive permanent premium access. Subscriptions can expire, renew, enter a billing grace period,…
Most RAG data leaks don't need a clever attacker. They need one missing filter. A shared vector index, a retrieval call that forgot the tenant_id, a semantic cache keyed only by the question text, and suddenly customer B gets an answer…
Your single AI agent works. It answers questions, calls a few tools, and the demo went well. Then production happens: the prompt grows to 3,000 tokens, the agent has 25 tools and picks the wrong one, latency creeps up, and nobody can…
We ship a small free GitHub Action, Agent PreShip Guard, that flags risky AI-agent code before it merges. Before writing about it, we pointed it at two tiny demo agents. It got both wrong. Agent A is a read-only uptime…
A user disables analytics tracking in your fitness app. The settings screen shows that tracking is off, but your backend continues sending workout events to an analytics provider. Both situations reveal the same engineering problem: privacy controls exist in the…
When you open the Models screen, the app reads two folders in your user profile: It lists chat and vision models in GGUF format. Image, video, speech and embedding weights are left out. Reading these folders copies and moves nothing.
Most AI tools today work the exact same way: You ask a question. The AI gives you the complete, polished answer. You copy and paste it. And ten minutes later, you have no idea how it was actually solved. It…
The first article in this series modeled a product as a data model. The second one dealt with a curved object that broke the rectangular assumption. Here is what that does to the schema. The earlier model had one dimensions…
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