Startup Founders Challenge Trump's Move Against Chinese Open Weight AI

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

github | stars 194,876

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

github | stars 88,306

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

🎨 The open-source Claude Design alternative. 🖥️ Local-first desktop app. 🖼️ Your coding agent becomes the design engine: prototypes, landing pages, dashboards, slides, images &…

github | stars 80,948

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant int…

github | stars 41,579

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

github | stars 27,647

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

LangChain's Eval Engineering Skill inspects your agent's repo and traces, proposes evals through user interviews, and outputs runnable Harbor tasks.

langchain

Your agents can now be built on a stable, batteries-included harness – the loop, planning, memory, context management, approvals, and telemetry that turn a model into an agent that actually does things – in both Python…

devblogs.microsoft

Most AI teams focus on the wrong things. Here’s a common scene from my consulting work: AI TEAM Here’s our agent architecture – we’ve got RAG here, a router there, and we’re using this new framework for… ME [Holding up…

hamel

The capabilities that make agents useful also make them difficult to evaluate. The strategies that work across deployments combine techniques to match the complexity of the systems they measure. \n

anthropic

Learn how Schneider Electric built enterprise LLMOps foundations with LangSmith to improve observability, evaluation, and deployment for AI products at scale.

langchain

Part 1 of Build your own claw and agent harness with Microsoft Agent Framework. In the overview we said a “claw” is really just an agent harness: a loop around a model, wired up with tools, planning, memory, and more. I…

devblogs.microsoft

Today, I’m publishing evals-skills , a set of skills for AI product evals 1 . They guard against common mistakes I’ve seen helping 50+ companies and teaching 4,000+ students in our course . Why Skills for Evals Coding a…

hamel

Harnesses encode assumptions that go stale as models improve. Managed Agents—our hosted service for long-horizon agent work—is built around interfaces that stay stable as harnesses change.

anthropic

The gateway is the runtime control plane for enterprise AI, turning policy into enforceable decisions across every model call, tool call, and agent hop.

langchain

Your Python agents can now pick up reusable bundles of domain expertise (instructions, reference material, and scripts that load only when a task calls for them) through a stable, production-ready API. Agent Skills for…

devblogs.microsoft

Amazon Bedrock AgentCore optimization surfaces silent behavioral failures in production AI agents: the ones that pass every health check but still deliver wrong outcomes. Learn how insights discovers, explains, and rank…

aws.amazon

DevSecOps for AI agents requires more than code review -- Harness beefs up behavioral and security controls and hints at a possible observability expansion.

techtarget

A critical vulnerability in Microsoft’s official Azure DevOps Model Context Protocol (MCP) server enables attackers to perform indirect prompt injection attacks. By embedding invisible HTML comments within a pull reques…

4sysops

I genuinely believe that if you took an open weights model from 2025 and built a pentest harness for it, it could do this kind of sandbox escape and scan/hack in most networks. This is only surprising because you assume…

simonwillison

Rider 2026.2 opens up the IDE’s own intelligence to your AI coding agents, so they work from real project knowledge instead of reconstructing it from files and terminal output. A new set of agent skills covers testing,…

blog.jetbrains

Copilot now bills usage at listed API rates. Compare direct model access with the coding workflow, policy, and harness work around it. The post Copilot vs. raw API access: What are you actually paying for? appeared firs…

github

🤗huggingface

The following originally appeared on Hugo Bowne-Anderson’s Vanishing Gradients Substack and is being republished here with the author’s permission. The conversation around harness engineering is dominated by problems fr…

oreilly

Your coding agent dies with your laptop lid, your API keys live in five dashboards, and your AI bill is a surprise. We built Octomind Cloud to fix all three: persistent machines from $0.05/hr — with real Docker inside —…

octomind

Attackers have shifted from hiding from AI tools to running inside them. By poisoning the config files that govern AI coding assistants, a new worm class achieves silent persistence, evades AI-based scanners, and spread…

tenable