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⭐️ Highlights 🪝CompactionHook and Built-in Compactors for Context Length Management Experimental context compaction for Agent. Runs before LLM calls and shortens the conversation once it crosses a configured fraction of the context window.
I wanted to hand an agent system a goal and walk away. baro is what it actually took: an event bus where planners, workers, critics and gates all run concurrently — built on Mozaik, honest numbers included.
Your company just paid out a $200 refund on a $100 order. You look at the codebase and nothing is broken, nothing failed, the model didn't hallucinate. This is a classic orchestration failure.
Meta's first terminal coding agent launched with a benchmark chart it loses — and a design worth stealing: background agents that persist all session, sub-agents fanned into isolated git worktrees, and a 12–21x discount if you let Meta train on your code.
Wearable devices capture continuous physiological signals at population scale. These streams, ranging from heart rate dynamics to sleep patterns, can reveal early physiological changes before symptoms appear.
When code gets cheap, the hard part is deciding what “correct” means and building a reliable way to check it.
Florent Delgrange won the Best Blue Sky Paper Award at AAMAS 2026 for his work Foundation World Models for Agents that Learn, Verify, and Adapt Reliably Beyond Static Environments. We caught up with him to find out more about his vision for agent learning.
CopilotKit's open-source stack lets you deploy autonomous AI agents — each with its own sandboxed browser, filesystem, and tool access — embedded directly inside your app. The architecture solves a real problem...
The business world in 2026 demands fast execution. You don't have time to write repetitive code or manually process massive spreadsheets. The post 10 Best No Code AI Agent Builders in 2026 appeared first on Blog.
Chatbots are officially dead. By 2026, Gartner predicts that 80% of enterprises will run generative AI applications in production environments, up from less than 5% just three years ago. And they aren't just generating text anymore. They're taking autonomous action.
Founded in 2008, Stack Overflow’s public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers.
Most frameworks put the agent workflow in the middle. The real leverage is modeling the domain first — its rules, state, and invariants — then letting agents act inside it and learn from a feedback loop.
When we launched Google Antigravity, our goal was to prove what software development looks like when built from the ground up around autonomous agents. With…
#AgenticAI #AIEngineer #AIRoadmap2026 🔗 Join the WhatsApp Community https://chat.whatsapp.com/ENnDGZ41lMYBHCApJIpzo6?mode=gi_t This is to bring together serious and like-minded learners who want to learn AI, share useful resources, discuss ideas, and grow together.
An agent harness is the software infrastructure that surrounds an AI agent and enables it to operate reliably. It manages the agent’s execution loop, context, tools, permissions, memory, retries, and …
The impact of AI on software development has been both profound and ever-evolving. Last year, I wrote about AMD’s plans to use AI not just for generating new lines of code, but also for other steps in the software development lifecycle (SDLC), such as triaging problems, debugging code, and testing…
CrewAI makes role-based agent teams easy to organise in Python. But it is a framework you run. Here are the CrewAI alternatives worth comparing in 2026.
Graph engineering stops at the diagram. The harder half is the context graph underneath: whether relations, vectors and memory share one consistency boundary.
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