In 2026, the central challenge of moving Generative AI into production isn't what the model can do, but how we control what it invents. Hallucinations are now recognized as an intrinsic property of autoregressive models, and for enterprise applications, they represent a critical business and reputational risk.
To transform unpredictable AI into a reliable toolset, modern QA processes ...
📖 TL;DR
- An MCP agent is four things: a model, two or three MCP servers, a system prompt, and a guardrail on writes.
- Sales → HubSpot or Salesforce + Slack + Calendar. Marketing → Ahrefs or Semrush + Exa + Notion.
- Social media → X and TikTok have official ad MCP se...
As of August 2026, the AI Act's rules for general-purpose AI have teeth. If your training or fine-tuning data comes from the web, a few of those rules land directly on your engineering team, not just legal.
For a couple of years the EU AI Act was a thing legal teams talked about and engineers ignored, because nothing was being enforced yet. That changed on August 2, 202...
When I started learning Spring, I noticed something about many of the tutorials I found.
They often showed how to use a feature, but not always why it worked or when you should choose one approach over another.
I learn best by building things and documenting what I discover, so I started a project called spring-by-example.
The idea is simple: instead of ...
EF Core is a tool for .NET developers that lets you work with dat...
Most SRE teams do not lose the bulk of an incident because nobody noticed something was broken. In mature environments, alerting is already fast enough to wake the right people, interrupt the right channel, and open the right incident record. The harder question starts after the page: what changed, which dependency is involved, how wide is the blast radius, which dashboard matters, what did we ...