AI-AGENTS
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Endor Labs launches AURI: free security intelligence for AI coding agents
Endor Labs launched AURI, a free security intelligence layer for AI coding agents that scans code and dependencies for vulnerabilities, secrets, and m...
OpenClaw rockets to GitHub’s top spot—security and ops readiness now in focus
OpenClaw, an open-source legal AI project, has surged to GitHub’s most-starred status while raising fresh security and governance questions for teams ...
Cursor instability and the pivot toward agentic coding tools
Recent user reports point to reliability regressions in Cursor, with crashes, hung operations, and unexpected file behavior raising red flags for team...
AI agents under attack: prompt injection exploits and new defenses
Enterprises deploying AI assistants and desktop agents face real prompt-injection and safety failures in tools like Copilot, ChatGPT, Grok, and OpenCl...
Stateful MCP patterns for production agents
MCP is moving from flat tool lists to stateful, secure, and data-grounded agent integrations suitable for enterprise use. A deep dive on building stat...
Plan for multi-model agents and resilience in 2026
AI agents are set to pressure reliability, with more outages expected and a push toward chaos engineering and multi-cloud failover, per [TechRadar’s 2...
xAgent CLI brings terminal-driven desktop control to AI agents
A community post introduces [xAgent CLI](https://dev.to/_1ce933ea8657ecc195ce7/xagent-cli-the-first-ai-assistant-that-can-actually-control-your-deskto...
Skills.sh and serverless cold-start takeaways from Next.js Weekly #114
Vercel launched Skills.sh, a one-command catalog of 4,500+ reusable AI agent skills to wire up services quickly [Next.js Weekly #114](https://dev.to/e...
Kiro Powers: Dynamic, keyword‑activated Azure help without MCP bloat
An AWS architect used Kiro's dynamic "Powers" to work productively on Azure, activating only the right MCP tools via keywords to avoid token bloat and...
AI SDLC: Coding Concentrates, Agent Sprawl Hurts, Model Choice Matters
Anthropic’s recent analysis of 2M Claude sessions shows software tasks dominate usage and that augmentation outperforms automation for complex work, w...
Claude Code adds persistent Tasks and MCP Apps for enterprise workflows
Anthropic upgraded Claude Code with persistent "Tasks" (v2.1.16), adding DAG-style dependencies, filesystem-backed state (~/.claude/tasks), and cross-...
Next.js roundup: Skills.sh for AI agents, Server Actions perf, and cold starts
Vercel launched Skills.sh, a catalog of 4,500+ reusable capabilities for AI agents, alongside guidance on streaming AI responses with Next.js 16 and c...
Copilot code review shows up in CI; Agent mode reliability questioned
Teams are beginning to run Copilot-driven PR checks in CI, with "Copilot code review" workflows executing on public repos via GitHub Actions ([workflo...
Rust AutoAgents on Android: Local, Private AI Agents
Rust-powered AutoAgents enable AI agents to run entirely on Android with local models—keeping data on-device, working offline, and avoiding cloud depe...
Copilot SDK (tech preview) brings Copilot’s agentic loop to any app
GitHub launched the Copilot SDK (technical preview) so you can embed the same agentic execution loop behind Copilot CLI—covering planning, tool use, m...
Rust AutoAgents bring private, on-device AI to Android
A new guide shows how to build AI agents in Rust and run them entirely on Android using local models—no cloud required—delivering privacy, offline rel...
Operationalizing AI: interoperability + metrics to tame agentic LLMs
Agentic LLM systems often stumble on control, cost, and reliability—treat them like distributed systems with guardrails, constrained tools, and deep o...
Agentic workflows: goal-oriented AI automation with human oversight
Agentic workflows are AI-driven, outcome-focused automations where agents plan, act across systems, self-correct, and learn with human oversight—movin...
Claude Code Skills + MCP: wiring GitHub, docs, and DBs
A new guide and walkthrough show how to use Claude Code Skills for repeatable workflows and the Model Context Protocol (MCP) to connect the agent to G...
Clauder adds mailbox-based agent coordination for Claude Code
Clauder v0.7.1 introduces Clauder Wrap, a wrapper that lets Claude Code automatically consume messages from other agents via a local mailbox. It enabl...
Spec-driven workflow for AI coding agents: plan first, execute incrementally
Addy Osmani outlines a practical framework for writing lean, clear specs that guide AI coding agents: start with a concise high-level brief, have the ...
Local agent-to-agent messaging for Claude Code via Clauder
Clauder is a local-first, open-source coordination layer that lets AI coding agents message each other without you acting as the glue. Its latest rele...
Design memory as a first-class component for AI agents
A 102-page academic survey summarized by multiple universities argues memory is a foundational primitive for agentic systems, enabling consistency, le...