While employee use of AI tools like ChatGPT and Claude offers productivity benefits, it also creates security risks by allowing company data to leave the organization without standard controls. It rec…
Running large language model inference servers like vLLM and TGI in production requires specialized observability because they behave differently from standard web services, with key metrics like late…
Project IDX is a browser-based development environment that integrates AI-driven security linting to help beginners write safer code from the start. The tool actively flags potential vulnerabilities, …
A workflow where the author used AI to quickly convert a 2D image into a 3D model, bypassing the slow, traditional process of manual modeling. By using a tool like Triverse AI, the author found that t…
While AI coding tools excel at generating code, they fail to address the critical 70% of software development work involving testing, deployment, and bug fixing. It highlights the "E2E testing gap," w…
Challenges of integrating an LLM into a 12-year-old fintech codebase, including issues like the LLM becoming a blocking dependency in a money flow, producing confident but incorrect outputs due to inc…
While standard RAG (Retrieval-Augmented Generation) is effective for simple lookup questions, it struggles with complex queries requiring an understanding of relationships between entities. GraphRAG a…
A local mobile phone shop rebranded itself as "Ai Gadgets" despite having no actual AI technology, using this as an example of a recurring historical pattern. The author argues that every major techno…
MICA (Memory Invocation & Context Archive), a governance schema for AI context management that formalizes the README as a protocol for session initialization. It introduces an invocation hierarchy—nat…
According to the article, while current AI healthcare systems primarily focus on risk prediction and disease identification, the next frontier is the "medical world model," which simulates how a patie…
The author watched Google I/O 2026 with a focus on whether Google's AI ecosystem was becoming more practical and connected for developers, rather than just on new model announcements. They observed th…
Most products marketed as "AI agents" are actually simple scripts or prompt-driven workflows, not truly autonomous systems. It defines a genuine agent as one that can observe its environment, make ind…
OpenClaw, a plugin by WAIaaS that provides 17 sessionAuth tools enabling AI agents to securely execute blockchain transactions like token swaps and DeFi operations without directly managing private ke…
WebMCP is a W3C draft specification that allows websites to expose their features as structured tools for AI agents to call directly, rather than scraping the page's DOM or screenshots. While some cla…
Author's experience building an AI assistant using Gemma 4 to help Cameroonian applicants avoid mistakes on Canadian Express Entry immigration forms. Initial tests revealed that Gemma 4 gave incorrect…
AI tools like ChatGPT and GitHub Copilot can now generate code and fix bugs in seconds, shifting the focus of coding education from memorizing syntax to hands-on experimentation. Interactive coding pl…
A project called Simple RAG Chatbot, which allows users to build a chatbot that answers questions based on their own documents (such as Markdown or text files) rather than relying on the model's gener…
The article, written by Shrijith Venkatramana, discusses the debate over whether developers need to read AI-generated code, arguing that while reading every line is no longer necessary for many tasks,…
Architecture and implementation of a real-time camera-based object classifier, detailing its use in applications like retail analytics, security, and self-driving cars. It provides a technical guide f…
Polarized state of software development in 2026, divided between "token chasers" who use AI to rapidly ship code and "refusers" who write every line by hand. It argues that both sides have valid point…