MCP (Model Context Protocol): Explained Simply
Author(s): Nisarg Bhatt Originally published on Towards AI. Here is something that does not get talked about enough. The AI tools you use every day, including ChatGPT, Claude, Cursor, whatever your favourite is, they all have the same quiet limitation. They know …
From Monolith to Microservices: A Developer’s Survival Guide in 2026
Author(s): FutureLens Originally published on Towards AI. From Monolith to Microservices: A Developer’s Survival Guide in 2026 The journey starting from monolithic architecture to microservices is a very big challenging nowadays yet rewarding one. As we are explore in the ins and …
TAI #195: GPT-5.4 and the Arrival of AI Self-Improvement?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie Two stories dominated this week that look unrelated but tell the same story. On Wednesday, OpenAI released GPT-5.4, its most work-oriented frontier model to …
Oracle Is Firing 30,000 People to Pay for AI It Hasn’t Built Yet
Author(s): Menna Adly Originally published on Towards AI. If your company is “pivoting to AI,” your job might be funding the pivot. One desk. One cut badge. And a data center full of chalk outlines where the servers were supposed to go. …
Code Ships in Minutes. Everything Else Takes Weeks.
Author(s): Know-Island Originally published on Towards AI. AI 100x’d the speed of writing code. We’ve done nothing about the 3 days it takes to review, build, approve, and deploy it. AI can write a feature in 3 minutes. Then you wait 2 …
LLMOps Guide: The End-to-End Pipeline for Reliable AI Applications
Author(s): Divy Yadav Originally published on Towards AI. For developers who have just built an LLM, RAG, or agentic system and are wondering what comes next. Most teams celebrate when their AI application finally works. The demo looks good, the feature ships. …
Part 6: Data Manipulation in String and Text Processing
Author(s): Raj kumar Originally published on Towards AI. If you’ve ever worked with real-world data, you know the struggle. Names come in all caps when they should be title case. Email addresses have trailing spaces. Phone numbers show up in a dozen …
Part 5: Data Manipulation in Data Transformation
Author(s): Raj kumar Originally published on Towards AI. By the time we reach transformation in a data pipeline, the dataset usually appears stable. It has been imported with structure, inspected with skepticism, selected with intent, and cleaned through deliberate intervention. At this …
Part 4: Data Manipulation in Data Cleaning
Author(s): Raj kumar Originally published on Towards AI. There is an assumption many teams carry without fully examining it. Data cleaning feels responsible.It feels corrective.It feels like a necessary step to improve data quality before analysis or machine learning begins. But data …
🤖 AI Agents in 2026: From Chatbots to Systems That Actually Do Things
Author(s): AbhinayaPinreddy Originally published on Towards AI. 🤖 AI Agents in 2026: From Chatbots to Systems That Actually Do Things The Problem Nobody Talks About You’ve probably used an AI chatbot and felt the excitement crash into disappointment. You type: “Refactor this …
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