I Deleted Every Static Claude API Key I Owned. Here’s the Keyless Migration, Provider by Provider.
Author(s): Anup Karanjkar Originally published on Towards AI. Workload Identity Federation just hit GA — the per-provider setup, and the precedence trap that cost me two quiet days Last Tuesday I went looking for every static Claude API key I owned, and …
I Replaced ChatGPT With Local AI for 30 Days. Here’s What Actually Happened.
Author(s): MayhemCode Originally published on Towards AI. Why Local AI Is Not a Fringe Thing Anymore My ChatGPT Plus subscription was costing me $20 a month. That’s $240 a year. For someone who uses AI every single day for drafting, coding help, …
A Practical Guide to Evaluating a Cloud Migration Partner
Author(s): Datafortune Inc Originally published on Towards AI. Should we move to AWS, Azure, or GCP? Do we need a hybrid architecture? Is multicloud the right long-term strategy? How quickly can we modernize legacy workloads? These are important questions. Yet they often …
AsyncIO in Python: What It Actually Is and Why Your ‘Async’ Code Might Not Be Async
Author(s): Rizwanhoda Originally published on Towards AI. First: What Problem Does AsyncIO Solve? Adding async and await to your code doesn't make it asynchronous. It makes it eligible to be asynchronous. There's a big difference and it bites almost everyone the first …
Building Long-Running Claude Managed Agents: Why State Matters More Than Compute
Author(s): Divy Yadav Originally published on Towards AI. Photo from AI At 9:03 am on a Tuesday, my research agent said hello and stared at an empty /workspace/. Six hours of analysis from the night before. Gone. The cloned repository. The installed …
The Building Blocks of LangGraph (Part 0)
Author(s): Bessie Delight Kekeli Originally published on Towards AI. The Building Blocks of LangGraph (Part 0) For other parts of the series : Part 0 , Part 1 , Part 2 , Part 3 As Large Language Models (LLMs) have become more …
Five Ways Claude Code Runs Multi-Step Work. The Two Questions That Pick the Right One.
Author(s): Anup Karanjkar Originally published on Towards AI. Single agent, subagents, skills, agent teams, dynamic workflows — a builder’s map, and the one that isn’t really orchestration On May 28, Claude Code got its fifth way to run a multi-step job, and …
Choose Wisely: Models Should Follow Your Use Case.
Author(s): Dhanush Kandhan Originally published on Towards AI. Choose Wisely: Models Should Follow Your Use Case. — By Dhanush Kandhan A guy in my builder’s discord group blew his entire Codex subscription in eleven days. Two weeks into the month, nothing left. …
You Do Not Need 50 Diffusion Steps. Here Is What Nvidia Proved at GTC.
Author(s): Siddhant Nitin Patil Originally published on Towards AI. You Do Not Need 50 Diffusion Steps. Here Is What Nvidia Proved at GTC. The video diffusion industry has had the same conversation for two years. Better model. More parameters. Higher resolution. Longer …
Understanding Reinforcement Learning — A Primer
Author(s): Ayo Akinkugbe Originally published on Towards AI. Understanding Reinforcement Learning — A Primer Photo by Girl with red hat on Unsplash Introduction: Learning by Trial and Error Imagine teaching a dog to fetch a ball. You don’t hand the dog a …
Deep Learning Inference: PyTorch, ONNX, and TensorRT Explained
Author(s): Aditya Kumar Manethia Originally published on Towards AI. Deep Learning Inference: PyTorch, ONNX, and TensorRT Explained Photo by Manja Vitolic on Unsplash If you are learning Machine Learning, you have probably lived this exact scenario: You spend hours cleaning a dataset, …
AI Security for AI Engineers: What Actually Breaks in Production?
Author(s): Andrii Tkachuk Originally published on Towards AI. AI Security for AI Engineers: What Actually Breaks in Production? You’ve shipped an LLM-powered feature. Your RAG pipeline retrieves context, your agent calls a few tools, users are happy. But has anyone on your …
How AI Agents Actually Work: A Practical Walkthrough from Building One
Author(s): Himanshu Sharma Originally published on Towards AI. How AI Agents Actually Work: A Practical Walkthrough from Building One For a long time, the word “AI agent” felt like a buzzword to me. Every other LinkedIn post was about agents. Every newsletter …
Harness Engineering Explained: The One Layer Behind Every AI Agent That Actually Works
Author(s): Divy Yadav Originally published on Towards AI. Most AI agents are built with the smart part but not the safe part. Here is what the missing layer is, why it exists, and what breaks without it. A company built an AI …
Stop Building AI Apps for Every Idea. Start Building MCP Servers — Part #5
Author(s): Andrii Tkachuk Originally published on Towards AI. Stop Building AI Apps for Every Idea. Start Building MCP Servers — Part #5 Where does your MCP server actually live? In Part 1 I argued that the center of gravity in applied AI …
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