Taswar Bhatti
Practical guides on AI agents, LLM security, C#/.NET and Cloud, from Taswar Bhatti
Tag: .net
UsingGrok4.7withCSharp

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 applications with AI capabilities, here’s what actually matters and how to put it to work.

What Grok 4.7 Actually Is

Grok 4.7 is xAI’s latest model release, built from the ground up for scenarios where you need an AI that can think through multi-step problems, use tools effectively, and maintain context across extended tasks. The key differentiators:

  • Deep reasoning capabilities. Trained extensively on complex problem-solving tasks requiring planning, analysis, and synthesis—not just pattern matching or next-token prediction.
  • Up to 500K tokens of context, according to the current Grok deployment guide. Input and output share that budget; actual use
… Read the rest “Using Grok 4.7 with C#”
Microsoft-Decision-1-Csharp-Developer

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 or hand off.

Those steps still get sent to a frontier chat model because that is the client everyone already wired up. It works. It is also slow, expensive, and a little awkward — you ask for JSON, then you parse prose that almost looks like JSON, then you invent a confidence score the model never actually returned.

Microsoft-Decision-1, now in public preview in the Foundry … Read the rest “Not Every Step Needs a Chat Model — Microsoft-Decision-1 for C# Developers”

GPT-6.1-Sol-CSharp-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 long-document synthesis.

Now there is a different question: Can you afford to do that every time the work shows up? Microsoft’s GPT-6.1 Sol announcement says GPT-6.1 Sol is generally available in Microsoft Foundry. It upgrades GPT-6 Sol, not Astra, and improves agentic coding, computer use, and professional work. Microsoft says it approaches Astra on its cited evaluations while offering a better capability-to-cost balance for agents that run all day. That is a positioning and evaluation claim, not a promise that Sol wins every task or that any particular deployment will be cheaper.

For a .NET team, I … Read the rest “GPT-6.1 Sol for C# Developers – Production Agents in Foundry”

ClaudeOpus5.5forCSharpDevelopers

Anthropic’s newest model, Claude Opus 5.5, just landed — meaning if you’re already building with Claude, you can call Anthropic’s most capable coding-and-reasoning model with a resource API key. Here’s what’s actually new, and how it looks from C#.

What Actually Shipped

A few facts worth knowing before you touch any code:

  • 40% cheaper than Opus 5. Input tokens at $4/M, output at $20/M (vs. $5/$25), with cache reads at just $0.20/M — a 60% drop that hits hard for agentic workloads where re-read context dominates the bill.
  • Medium effort is now the default. Anthropic reports Opus 5.5 matches Opus 5’s quality at noticeably fewer output tokens when running at the medium effort level. You control reasoning depth with the effort parameter (low → max) instead of the old thinking toggle.
  • Adaptive thinking is always on. You can no
… Read the rest “Claude Opus 5.5 for C# Developers”
MAI-Image-2.6

Every time a new image model ships, I ask the same unglamorous question: can I actually put this in a pipeline, or is it just good at one pretty hero shot? Most image models nail the demo and fall apart the moment you need the fiftieth consistent variant of the same product, or a single surgical edit that doesn’t quietly redraw everything else in the frame.

Microsoft AI just shipped two models that answer that question directly: MAI-Image-2.6 and MAI-Image-2.6-Flash, both now in public preview in Microsoft Foundry. They’re not “one model, two names” — they’re a genuine two-tier portfolio: one for maximum quality, one for maximum throughput, sharing the same capabilities underneath.

As always: no Python, no notebooks. Just C#, HttpClient, and a dotnet run.

What Actually Shipped

A few facts worth knowing before you touch … Read the rest “MAI Image 2.6 Lands in Foundry for C# Developers”

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