Continual learning for AI agents Most discussions of continual learning in AI focus on one thing: updating model weights. But for AI agents, learning can happen at three distinct layers: the model, the harness, and the context. Understanding the difference changes how you think about building systems that improve over time. The three main layers

Most discussions of continual learning in AI focus on one thing: updating model weights. But for AI agents, learning can happen at three distinct layers: the model, the harness, and the context. Understanding the difference changes how you think about building systems that improve over time.

Automatic Cleanup for Route Injectors in Angular Introduction

“Automatic Cleanup for Route Injectors in Angular“ by Netanel Basal on Medium: netbasal.medium.com/automatic-cl...

Developer’s Guide to Building ADK Agents with Skills- Google Developers Blog Discover how the ADK SkillToolset uses progressive disclosure to build self-extending AI agents that load expertise on demand. Learn four patterns to reduce token costs and enable agents to dynamically generate their own skills using the agentskills.io specification.

Developer’s Guide to Building ADK Agents with Skills - Google Developers Blog share.google/dEGz2ZpaHuRW...

The 8 Types of AI Agents Explained A deep dive into the complete taxonomy of intelligent agents shaping our world — from thermostats to autonomous AI co-workers.

Read “The 8 Types of AI Agents Explained“ by Shankar Angadi on Medium: medium.com/@angadi.saa/...

Gemma 4: Byte for byte, the most capable open models Gemma 4: our most intelligent open models to date, purpose-built for advanced reasoning and agentic workflows.

Gemma 4: Byte for byte, the most capable open models

The Missing Layer in Agentic AI – O’Reilly share.google/VIu5Qw4I7T2n...

How Kensho built a multi-agent framework with LangGraph to solve trusted financial data retrieval Discover how Kensho, S&P Global’s AI innovation engine, leveraged LangGraph to create its Grounding framework–a unified agentic access layer solving fragmented financial data retrieval at enterprise scale.

The one-model trap: Why agentic AI won’t scale in production | CIO share.google/VrY6EDzMVNyR...

I think with tooling provided by tools such as LangGraph which can be persisted in DB, it doesn't need to go that far - just context, summarised (compacted), nothing over the top, otherwise it becomes overhead... way too much. Maybe there is a situation where this makes sense, but not always.

But persistence alone isn't enough. State gets stale. If something in their cart is now out of stock, say so. If you've restocked what they wanted, offer it. Durable context + real-time validation. You need both.

One thing I've learnt building a production AI agent: persistent state isn't a nice-to-have — it's the foundation.

Your agent sends a clarification message. The customer replies two days later. You need to resume exactly where you left off — not start over.

How Kensho built a multi-agent framework with LangGraph to solve trusted financial data retrieval Discover how Kensho, S&P Global’s AI innovation engine, leveraged LangGraph to create its Grounding framework–a unified agentic access layer solving fragmented financial data retrieval at enterprise scale.

How Kensho built a multi-agent framework with LangGraph to solve trusted financial data retrieval share.google/pYb4Crjd4hui...

How we built LangChain’s GTM Agent Learn how we built a GTM agent that increased lead conversion by 250% while saving each sales rep 40 hours per month

How we built LangChain’s GTM Agent

Agent Evaluation Readiness Checklist A practical checklist for agent evaluation: error analysis, dataset construction, grader design, offline & online evals, and production readiness.

Agent Evaluation Readiness Checklist

Cursor admits its new coding model was built on top of Moonshot AI’s Kimi | TechCrunch Building on top of a Chinese model feels particularly fraught right now.

Cursor admits its new coding model was built on top of Moonshot AI’s Kimi | TechCrunch share.google/N4Jv6hZWvW9U...

Migrating to Angular Signal Forms: Interop with Reactive Forms - ANGULARarchitects Dies ist Beitrag 3 von 3 der Serie “Signal Forms” Dynamic Forms: Building a Form Generator with Signal Forms Angular Signal Forms – Everything You Need to Know Migrating to Angular Signal Forms: Interop with Reactive Forms Signals Forms is the new Forms implementation in Angular. However, Reactive Forms will be supported for a long […]

Migrating to Angular Signal Forms: Interop with Reactive Forms

Measuring progress toward AGI: A cognitive framework Google DeepMind proposes a cognitive framework to evaluate AGI and launches a Kaggle hackathon to build capability benchmarks

Measuring progress toward AGI: A cognitive framework

Claude Code designs for me in Figma ❌ No MCP needed - Full Tutorial 365 GitHub stars. Zero API keys. No MCP configuration! Why I built a direct Figma Claude Code connection instead of another MCP Server

Claude Code designs for me in Figma ❌ No MCP needed - Full Tutorial share.google/UZhSsT2HSLMq...

Arrow Functions in Angular Templates Angular now supports arrow functions directly in template expressions, allowing you to write inline functions without defining them in your…

Arrow Functions in Angular Templates

How we’re reimagining Maps with Gemini Google Maps has two new AI features: Ask Maps and Immersive Navigation.

Ask Maps and Immersive Navigation: New AI features in Google Maps share.google/Z19w1pzzIOXB...

Anthropic Adds 1 Million Context Window to Opus 4.6 & Sonnet 4.6 (Now You Can Code at Scale) The 1 million context window is now generally available for Claude Opus 4.6 and Claude Sonnet 4.6 users

Anthropic Adds 1 Million Context Window to Opus 4.6 & Sonnet 4.6 | by Joe Njenga | AI Software Engineer | Mar, 2026 | Medium share.google/1kkJDLik1gVq...

Gemini Embedding 2: Our first natively multimodal embedding model An overview of Gemini Embedding 2, our first fully multimodal embedding model that maps text, images, video, audio and documents into a single space.

Color me impressed - This is going to be a game changer

The rivalry between Cloudflare and Vercel gets pretty so quickly, always one incident away and trying to one up each other
share.google/THpmVRcnS7Oe...

Gemini 3.1 Pro: A smarter model for your most complex tasks 3.1 Pro is designed for tasks where a simple answer isn’t enough.

Holy Bananas...I didn't see this coming, Gemini 3.1 Pro was just released, looking forward to building on top of it.

Angular 21: Internal Mechanics, ARIA, and AI-Powered Coding! 🚀 The momentum in the Angular world is unstoppable! With last year’s release of Angular 21, our community experts are already breaking down…

Angular 21: Internal Mechanics, ARIA, and AI-Powered Coding! 🚀

5 CSS fouls that I see way too often 👉 CSS Demystified: https://thecascade.dev/courses/css-demystified/🔗 Links✅ The Bramus article on viewport units that I mentioned: https://www.bram.us/2026/...

5 CSS fouls that I see way too often

they hacked CSS Get a 14-day FREE trail of flare at https://go.lowlevel.tv/flare2026 . See if you or your company's data is floating around the dark web.🏫 MY COURSESSign-up...

they hacked CSS (update your browser)

Web Development Is More Than Frontend and Backend (Here’s What Actually Matters) For a long time, I thought web development was simple. Frontend. Backend. Done. HTML, CSS,...

This sort of raises a very important question - Am I a full-stack developer or a web developer, I know the later isn't as sexy, but I guess that's what I am, mostly, unless you ask my resume

Your IDE is an Attack Vector A new type of VSCode phishing attack is targeting freelancers via Upwork. Here’s how it works and how...

This is very scarely....

Can't believe it has take this long to use primeng - so cool

Markdown for Agents Markdown has quickly become the lingua franca for agents and AI systems as a whole. The format’s explicit structure makes it ideal for AI processing, ultimately resulting in better results while minimizing token waste.

It's quite interesting that you can ask Cloudflare to convert your web pages into markdown. This way, agents can understand them more easily and effectively!
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