Learn how to apply Clean Architecture in Python without overengineering, using domain entities, use cases, Protocols, and ...

It is no longer rare for generative AI to write code.I myself have also been using tools like GitHub Copilot and Codex, and I ...

Key Takeaways - Existing Python functions can become controlled tools that an AI agent can call for specific tasks.A decision ...

Explore how Model Context Protocol (MCP) is transforming AI-driven identity and security automation, and learn the best practices for mitigating risks ...

Q.ANT released the first open-source toolkit for programming commercial photonic AI processors, letting any developer write and test light-based AI inference code on a standard laptop before real ...

Learn how NodeJS helps small businesses automate admin, connect apps, and cut hosting costs, plus the limitations and security risks to plan around.

Jim Gough and Andreea Niculcea explain how Morgan Stanley uses Architecture as Code with CALM to modernize its API program. They demonstrate integrating Model Context Protocol (MCP) and Agent-to-Agent ...

Q.ANT, the pioneer in commercial photonic computing, today debuted its open-source software development kit for photonic computing, making the programming tools for a photonic processor publicly ...

Given the incredible power of modern microcontrollers, we’ve seen quite a few attempts to turn them into more general purpose computers over the years. KryonOS from [Haris] is the latest, ...

OpenAI introduced GPT-6 Sol and GPT-6 Luna on September 22, 2026, expanding the GPT-6 model family it launched with GPT-6 ...

At Luna’s prices, routine extraction and summarization can be pushed toward a much cheaper tier. Sol targets recurring coding ...

Building an AI agent can start with surprisingly little code. Python basics, an LLM API, a few tools, and a defined task are often enough for an early ...