I Wired Firecrawl into Claude via MCP! Here’s the Honest Breakdown.
Author(s): Jamieparker Originally published on Towards AI. I Wired Firecrawl into Claude via MCP! Here’s the Honest Breakdown. What works, what costs you more than the pricing page says, and the security problem nobody mentions. My AI agents were frozen in the …
I Built the Same App with Fable 5, Opus 4.8, and Sonnet 5…The Results Weren’t Even Close
Author(s): Felix Kebaya Originally published on Towards AI. I Built the Same App with Fable 5, Opus 4.8, and Sonnet 5…The Results Weren’t Even Close Anthropic now has three models that can code: The author describes testing three Claude coding models (Fable …
I Watched XGrammar Forbid a Token: What Grammar-Constrained Decoding Actually Does to Your Logits
Author(s): Praveen Kumar Originally published on Towards AI. At the very first step of generating a JSON object, I asked XGrammar which of my 15 vocabulary tokens the model was allowed to produce. The answer was one: { . The other fourteen …
Building Production MCP Servers: Security, Scaling, and Real World Pitfalls
Author(s): Rizwanhoda Originally published on Towards AI. You have a working MCP server. Congratulations. Now forget everything you learned, because production breaks different things than development does. There’s a predictable pattern in how teams deploy MCP servers to production. After the lead, …
YOLOv12 Explained
Author(s): ML Point Originally published on Towards AI. How Attention Entered Real-Time Object Detection Object detection solves the problem of labelling all the objects that are relevant for a frame and tag their position. A good detector should perform both of the …
7 Authentication Architectures Every Developer Must Know
Author(s): Rohan Mistry Originally published on Towards AI. Understand how modern authentication systems fit together. I’ve watched developers with years of experience confidently misuse OAuth for login. The article lays out an “authentication map” by distinguishing what each concept answers (Authentication/AuthN vs …
A2A Is the New API: What Agent-to-Agent Protocols Actually Solve
Author(s): “The AI Engineer” Originally published on Towards AI. A2A Is the New API: What Agent-to-Agent Protocols Actually Solve created by GEMINI For thirty years, the API was the contract. One system exposed a fixed set of endpoints, another system called them …
How to Build an AI Agent That Keeps Learning From GitHub
Author(s): Neyzis Originally published on Towards AI. How to Build an AI Agent That Keeps Learning From GitHub Most AI agents stop improving the moment you stop improving them. Not because the models stop getting better. Because the new workflows, architectures, repos, …
Claude Loops 2: Context Is the Hidden Loop
Author(s): Sage Holloway 🍓 Originally published on Towards AI. Claude Loops 2: Context Is the Hidden Loop Why Claude Code sessions get worse as they get longer, and how to use memory, compacting, clearing, and subagents without drowning the loop. Context window …
Building Enterprise Multi-Agent Systems on the JVM – A Layered Architecture with Koog, MCP, and A2A
Author(s): Shravya Originally published on Towards AI. Building Enterprise Multi-Agent Systems on the JVM – A Layered Architecture with Koog, MCP, and A2A Most AI agent tutorials show a single agent calling a few tools. That works for demos. It falls apart …
Building Enterprise Multi-Agent Systems on the JVM – A Layered Architecture with Koog, MCP, and A2A
Author(s): Shravya Originally published on Towards AI. Building Enterprise Multi-Agent Systems on the JVM – A Layered Architecture with Koog, MCP, and A2A Most AI agent tutorials show a single agent calling a few tools. That works for demos. It falls apart …
Building Enterprise Multi-Agent Systems on the JVM – A Layered Architecture with Koog, MCP, and A2A
Author(s): Shravya Originally published on Towards AI. Building Enterprise Multi-Agent Systems on the JVM – A Layered Architecture with Koog, MCP, and A2A Most AI agent tutorials show a single agent calling a few tools. That works for demos. It falls apart …
Building Enterprise Multi-Agent Systems on the JVM – A Layered Architecture with Koog, MCP, and A2A
Author(s): Shravya Originally published on Towards AI. Building Enterprise Multi-Agent Systems on the JVM – A Layered Architecture with Koog, MCP, and A2A Most AI agent tutorials show a single agent calling a few tools. That works for demos. It falls apart …
Building Enterprise Multi-Agent Systems on the JVM – A Layered Architecture with Koog, MCP, and A2A
Author(s): Shravya Originally published on Towards AI. Building Enterprise Multi-Agent Systems on the JVM – A Layered Architecture with Koog, MCP, and A2A Most AI agent tutorials show a single agent calling a few tools. That works for demos. It falls apart …
Your AI Doesn’t Forget. It Just Runs Out of Space.
Author(s): Priyanka Mali Originally published on Towards AI. How context windows actually work — and how I refactored my chatbot to handle them properly. 365 Days of AI · Day 16 · ~7 min read In Day 7, I built a chatbot …