Practical guides on AI agents, LLM security, C#/.NET and Cloud, from Taswar Bhatti
Practical guides for developers, by Taswar Bhatti.
Last Saturday, 17 October 2026, I gave a talk at the DevNot Developer Summit in Istanbul called “From Prompt Injection to Permission Boundaries: Security for AI Agents.” This post is the written version, with a few extra notes I didn’t…
Read more: From Prompt Injection to Permission Boundaries: Security for AI Agents
xAI just announced that Grok 4.7 so I wanted to try their model with C#. This isn’t another incremental update—it’s a model specifically architected for advanced reasoning, long-horizon problem solving, software engineering, and agentic workflows. For .NET developers building enterprise…
There are a lot of AI model announcements these days, but every now and then one lands that feels immediately practical. Claude Haiku 5.5 is one of those releases. Anthropic’s marketing says it’s their "cheapest, fastest, and most capable small…
Read more: Claude Haiku 5.5 for C# Developers: The Speed-Cost Sweet Spot
Most of the calls inside a production .NET agent are not “write me a paragraph.” They are small, repeated judgments: which team owns this ticket, is this reply promising a refund, how severe is this incident, should the agent continue…
Read more: Not Every Step Needs a Chat Model — Microsoft-Decision-1 for C# Developers
When I wrote about GPT-6 Astra, the interesting question was: Can an agent take a messy problem, investigate it, and hand back something worth reviewing? The examples were deliberately substantial: bug investigations, BI recommendations, template-based reports, approval-gated record updates, and…
Read more: GPT-6.1 Sol for C# Developers – Production Agents in Foundry