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You're building multi-agent AI systems. Agent A calls Agent B. Agent B calls Agent C. Every one of those calls is an API request protected by... what? API keys? mTLS? Good luck. Here's what happens when you use human security for autonomous agents. 1. No human approval loop A compromised human API k
When startup fundraising platform VentureCrowd began deploying AI coding agents, they saw the same gains as other enterprises: they cut the front-end development cycle by 90% in some projects. However, it didn’t come easy or without a lot of trial and error. VentureCrowd’s first challenge revolved a
Brev, a startup with roots in Seattle's tech scene, has raised $3.3 million in pre-seed funding for AI tools that automatically track how companies are performing against their goals. The company's AI agents join meetings, update goals, flag risks, and track follow-through on action items. Read More
Meta employees' activity at work is now being used to train the company's AI agents. As reported by Reuters, Meta is installing a tool it calls Model Capability Initiative (MCI) on US-based employees' computers that runs in work-related apps and websites, recording mouse movements, clicks, keystroke
At the three-day conference in Las Vegas that starts Wednesday, Pichai and key Google executives will seek to position the company's AI tools as production-ready infrastructure for enterprise customers who are emerging as the industry's most reliable revenue stream.
Google Cloud is turning the traditional enterprise data platform on its head, unveiling the Agentic Data Cloud infrastructure platform that aims to act as a kind of central nerve center for the era of artificial intelligence agents. In a blog post, Andi Gutmans, Google’s vice president and general m
Cloudflare has released Sandboxes and Containers into general availability, providing persistent isolated Linux environments for AI agent workloads. New capabilities include secure credential injection via egress proxy, PTY terminal support, persistent code interpreters, filesystem watching, and sna
The Palo Alto startup, spun out of Ohio State University by Yu Su, argues that current agents complete tasks as intended only half the time, a reliability gap it plans to close by giving agents a mechanism to build world models of the domains they operate in, learning on the job as a specialist rath
Hey DEV community, CallmeMiho here. Following up on my 0ms latency build, I’ve spent the last few weeks post-morteming production wrecks in the new AI-native stack. 2026 isn't just about shipping fast anymore; it's about not being the person who leaks the database or burns the entire API budget in o
Most agent frameworks assume you know the best agent for the job before the job starts. You pick a model, wire a DAG, and hope it holds. We didn't know. So we made 201 agents compete for every task — and let outcomes decide. This is the architecture behind Sturna.ai, and why we call it the octopus b
DuckDB Streaming, SQLite BLOB Output, & Securing Postgres for AI Agents Today's Highlights This week, DuckDB introduces 'Data Inlining' for efficient data lake streaming, while SQLite users discover a nuance in CLI BLOB output. Additionally, the community explores secure patterns for AI agent access
Move highlights the difficulty of finding high-quality interactive training data.
Agent Package Manager (APM): A DevOps Guide to Reproducible AI Agents If you have been customising GitHub Copilot, Claude Code, or Cursor for your team, you have probably hit the same wall I did. You spend a weekend crafting the perfect set of instructions, prompts, skills, and chat modes, you commi
Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist.
The Model Context Protocol Is Quietly Reshaping How AI Agents Work — 5 Hidden Patterns You're Missing If you've been using Claude Code or any modern AI assistant and wondering why some plugins just "work better" than others — this is why. Most developers hear "MCP" and think: "Oh, it's just another
LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM s
Cloudflare's Project Think introduces a new framework for AI agents, shifting from stateless orchestration to a durable actor-based infrastructure. It features a kernel-like runtime enabling agents to manage memory and run code securely. Innovations include Fibers for checkpointing progress and a Se
An AI agent writes code that gets committed to your repository. Another agent extracts financial data from PDFs and feeds it into a report your CFO reads. A third agent responds to customer support tickets at 3am. None of them have a quality gate. The agent ran. It produced output. That output went
Coinbase’s x402 AI payments protocol has launched Agentic.market, a platform where AI agents can discover and use AI-friendly services.
As open-source platforms scramble to close the infrastructure gap, enterprises are discovering that autonomous operations expose a deeper problem than performance: control. The conversation around enterprise resilience has shifted dramatically. A few years ago, resilience meant uptime. Today, it mea
