How AI Agents Turn Prompts into Full Workflows
When people talk about “AI agents,” it often sounds like magic. From a developer perspective, it is much more practical. An agent is just an LLM wrapped with tools, memory and a control loop so …
AI Automation and DevOps: How n8n, Flowise, and LangGraph Are Redefining Workflow
For years, DevOps meant CI pipelines, YAML files, dashboards, and a lot of manual glue work between tools. Now something interesting is happening. The “glue” itself is turning into programmable, AI powered workflows. Tools like …
From Prompting to Context Engineering: How AI Workflows Are Evolving
The more I work with LLMs, the more I realise that “good prompts” are not enough. They help for quick experiments, but they fall apart when you try to build something reliable, repeatable and ready …
The Local AI Revolution: How Ollama, Llama 3.1, and Your Laptop Are Redefining the Developer Landscape
Running a serious LLM on a laptop used to sound like a meme. Today it is a legitimate architecture decision. Over the last year, I have watched a quiet but massive shift. Developers are no …
Google Antigravity Is Reimagining the Future of AI Driven Software Development
Artificial intelligence has been steadily reshaping how software is written, tested and deployed, but most tools have evolved within the boundaries of traditional IDE workflows. They autocomplete code, answer questions and generate snippets, yet the …
RAG 2.0 Explained: The Retrieval Shift That Makes AI Finally Accurate
There is a very specific frustration every AI builder hits at some point. You ask your shiny new model a question, and it answers with confidence, yet it is completely wrong. The first time it …