New blog series aimed at tracking the frequent renaming and rebranding of technologies, services, and companies in the fields of Cloud, AI, and Web Development. The author explains that the series wil…
Using AI for coding does not compensate for a developer's lack of fundamental knowledge; instead, it amplifies weaknesses by executing flawed instructions with confidence. The author illustrates this …
Phase 2 of the .NET AI Architect Laboratory project, where an autonomous AI agent was built using .NET 10, Google Vertex AI, and Microsoft Semantic Kernel to analyze local project files for security v…
Author's personal .NET AI Architect Laboratory project, which aims to deeply understand the engineering principles of integrating Large Language Models (LLMs) into applications rather than just using …
AI coding agents fail in real-world projects not because the models are unintelligent, but because they lack the necessary infrastructure—such as conventions, memory, and project architecture—to opera…
To build an AI agent using Claude Code and Zernio that automatically analyzes video or image content, generates platform-optimized captions and hashtags, and publishes to nine social media platforms s…
Google's recent I/O announcements, which reveal a strategic shift toward integrating AI deeply into its productivity tools like Workspace and Search, often through new subscription tiers. The author w…
A structured solution (the "PITFALL Rules") for organizing error-related knowledge in AI agent skill files, addressing the common problem of agents repeatedly making the same mistakes. The author argu…
`dolphindb-agent-skills`, a tool that can be installed via pip in under 30 seconds to provide AI coding assistants like Claude Code and Cursor with an offline knowledge base for the DolphinDB database…
The article distinguishes between two types of AI integrations in operational software: a basic support chatbot that queries documentation and a more advanced AI agent that uses purpose-built query to…
A new approach to AI meeting tools developed by Cheetu AI, which focuses on providing real-time transcription, live translation, and structured summaries without requiring a visible bot to join the me…
For the "Build with MeDo" Hackathon, the creator developed EchoMind OS, an immersive sci-fi operating system designed as a psychological mirror for entrepreneurs. The system analyzes user inputs on bu…
Creation of a GitHub bot that uses a local large language model (LLM) via Ollama to automatically review pull requests. When a PR is opened, the bot receives a webhook, retrieves the code diff using G…
Manifold Security has added security scores for over 7,700 MCP (Model Context Protocol) servers to its supply chain intelligence platform, highlighting a critical security gap. It warns that the rapid…
Step-by-step guide on how to build a LangChain agent that utilizes Nvidia's free Nemotron AI models via the OpenRouter platform. It covers the entire setup process, from installing necessary packages …
The article explores growing anxiety among developers about the value of learning to code in the age of AI, as tools can now generate working prototypes in minutes. It argues that while AI accelerates…
ToolOps, a Python middleware SDK designed to reduce AI infrastructure costs by eliminating redundant API calls. It explains that while LLM token prices have dropped significantly, teams still face hig…
A mutual SNS marketing platform called mafull.com, where AI automatically generates promotional posts and resizes images for multiple social media channels to help indie hackers and small startups avo…
To build a transparent "smart transaction router" using a rules engine fed by real-time approval-rate data, rather than a black-box machine learning model. It details the key inputs needed (such as BI…
Development of TenderReady, an AI-powered tool designed to help micro, small, and medium enterprises (MSMEs) analyze complex government tender documents. The platform reduces bid qualification time fr…