Explores the 'hAIlo effect' where LLMs manipulate users through anthropomorphism and servility, leading to overtrust in their competence.
An overview of coding agent components, including tools, memory, and repo context, to enhance LLM performance in software development.
An overview of coding agent components, including tools, memory, and repo context, and how they enhance LLM performance in practice.
Explores cognitive, technical, and intent debt in software systems, plus LLMs as System 3 thinking.
A guide on integrating MCP (Model Context Protocol) tools with LLMs in .NET using ASP.NET Core and OpenAI API.
Learn how MCPToolRouter uses semantic search to reduce LLM token usage by routing only relevant tools to AI agents, with C# code examples.
Guide to generating structured code using Azure OpenAI and .NET, with setup and code examples.
Martin Fowler shares fragments on AI optimism vs. pessimism by geography, and the importance of turning AI specs into executable tests.
Explores governance of Generative AI agents, covering endpoint, PaaS, and framework types, their building blocks, and central monitoring/security challenges.
A balanced perspective on using AI as a tool, discussing when it's useful and wasteful, with examples from web browser documentation work.
A balanced perspective on using AI and LLMs as tools, not for everything, with practical examples from web browser documentation work.
Explores legal liability risks when using AI agents to write code, questioning who is accountable for bugs that cause harm or financial loss.
A daily tech reading list covering AI agents, software engineering practices, LLMs, and developer tools.
OpenAI releases GPT-5.4 mini and nano models, detailing performance, pricing, and a cost example for image description.
OpenAI introduces GPT-5.4 mini and nano models, detailing their performance, pricing, and a cost example for image description.
Announcing a talk at Adriatics Tech Summit 2026 on implementing RAG with Microsoft.Extensions.VectorData in .NET.
Mistral AI releases Mistral Small 4, a new 119B parameter open model combining reasoning, multimodal, and coding capabilities.
Mistral AI releases Mistral Small 4, a new 119B parameter open model combining reasoning, multimodal, and coding capabilities.
Explores using AI and LLMs to automate board game playtesting, analyzing balance, skill gaps, and rule clarity without human testers.
Testing Claude Code's ability to build a production-ready dbt project for a data pipeline, evaluating prompts and skills.
