Context Rot Is 2026’s Most Important AI Discovery — Here’s Why.
Author(s): Rubab Ashfaq Originally published on Towards AI. Inside “context rot” — the 2026 discovery that’s forcing every serious AI team to rethink how they feed information to their models For the last three years, the AI industry ran on one assumption: …
Open Weights Are Good Enough. The Hard Part Is Everything After.
Author(s): Rajasekar Venkatesan Originally published on Towards AI. Open Weights Are Good Enough. The Hard Part Is Everything After. They now match commercial models on most enterprise work at a fraction of the cost. The differentiating skill is no longer picking a …
Before Kimi K3 Goes Open: 8 Secrets Every Developer Needs to Know
Author(s): allglenn Originally published on Towards AI. 1. What You’re Actually Deploying: 2.8T MoE With KDA and Two Attention Code Paths This guide covers eight concrete things you need to understand before you touch the download button: architecture, VRAM math, tooling dependencies, …
Stop Building Toy Chatbots: The 5 AI Engineering Projects That Will Get You Hired
Author(s): Ananya Kaul Originally published on Towards AI. Here are 5 production-grade architectures that prove you actually know how to build real AI systems. If you put a basic “PDF Chatbot with LangChain and Streamlit” on your resume today, most engineering managers …
The Missing Layer: Why Enterprise AI Needs Agentic Memory Engineering
Author(s): saisubrahmanyam janapati Originally published on Towards AI. The Missing Layer: Why Enterprise AI Needs Agentic Memory Engineering A few months ago, two of us on the same team built two agents to do the same job: classify a requirement as a …
How GenAI works — Through the Eyes of an Engineer |Practical Pocket Guide
Author(s): Stylianos Chiotis Originally published on Towards AI. If you’re not a Medium member and would like to enjoy this article without restrictions, feel free to use the friend link here. Happy reading! This is how an LLM actually works — end …
LoRA, Explained With Spreadsheets: How to Train a Model Without Touching Its Weights
Author(s): Neha Khan • AI & Software Engineer Originally published on Towards AI. LoRA, Explained With Spreadsheets: How to Train a Model Without Touching Its Weights Week 3, Day 2 of my AI engineering journey — training a model on a 6GB …
MCP Just Deleted Its Own Handshake — and Every Request Got 118% Bigger
Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. MCP Just Deleted Its Own Handshake — and Every Request Got 118% Bigger I measured the new Model Context Protocol wire format against the old one this morning, and the …
Kimi K3 Explained: 2.8 Trillion Parameters, 16 Active Experts, 1 Huge AI Shift
Author(s): R. Thompson (PhD) Originally published on Towards AI. Why Moonshot’s new open model may change long-context reasoning, coding, and AI economics Moonshot built a model with 2.8 trillion parameters, then designed it so almost all of them remain silent for each …
Siebel 26.6’s RAG-Powered Search: Why Your Support Reps Stop Solving the Same Ticket Twice
Author(s): Eshita Nandy Originally published on Towards AI. A Siebel developer’s honest walkthrough of Retrieval-Augmented Generation in service request search — what it fixes, how the OpenSearch vector pipeline works, and where the gaps still are. Here’s a scenario every Siebel-supported help …
The Repository That Reviews Itself
Author(s): Dave R – Microsoft Azure & AI MVP☁️ Originally published on Towards AI. Triage bots, disposable test boxes, pooled API budgets, and a review loop that calls itself, reconstructed from the source. This article walks through the tooling that keeps OpenClaw, …
Semantic Routing Protocol: How AI Agents Are Starting to Talk to Each Other Directly (Not Through LLMs)
Author(s): Rizwanhoda Originally published on Towards AI. You’ve built an AI agent that works perfectly in development. Deploy it to production with 30 different SaaS integrations and suddenly your costs are 10x higher and latency is unbearable. Here’s why, and what Semantic …
Hermes vs OpenClaw: 2026 Open Source AI Agent Automation Framework Guide
Author(s): Web Researcher Originally published on Towards AI. AI agents are evolving from simple task assistants into autonomous systems capable of executing processes, calling tools, and optimizing workflows. As trending AI automation frameworks, OpenClaw and Hermes represent two distinct directions: the former …
Real-Time Anomaly Detection With Kafka and Faust: From Stream to Slack Alert in Under 2 Seconds
Author(s): EMMANUEL NWANGUMA Originally published on Towards AI. There’s a category of problem where being right tomorrow is the same as being wrong. A fraudulent transaction clears. A server starts throwing errors at 2pm and nobody notices until the morning report. A …
How MCP Improves External Tooling in Hermes AI Agent Workflows
Author(s): Hoe shi Lee Originally published on Towards AI. How MCP Improves External Tooling in Hermes AI Agent Workflows Hermes AI Agent is gaining popularity these days as teams explore autonomous, workflow-driven systems for research, automation, and multi-step execution. I’ve used it …
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