ai-agents.
65 writings found
Latest Archives
Docker's Agent Sandbox Strategy: What Developers Need to Know
Docker's new Cloud Sandboxes and Kit specification represent a fundamental shift in how we deploy and govern AI agents. Here's what it means for your workflow.
Why Your AI Agent Passed Once But Failed 19 Times
ThinkingBox reveals agents pass single attempts but fail on repeat. 67% of failures look clean. The gap between capability and consistency is the real problem.
Why AI Agents Need Hard Budget Caps by Default
As coding agents become more autonomous, hard budget limits aren't optional anymore. They're a safety requirement for developers and enterprises alike.
Meta Opens Muse to Builders: DIY AI Agents Are Here
Meta open-sourced Muse, letting developers build custom AI gadgets on ESP32 and Raspberry Pi. What this means for the future of edge AI.
Meta Open Sources Muse: Build Your Own AI Agent Hardware
Meta releases open source Muse AI agent SDKs for ESP32 and Raspberry Pi, letting developers build custom smart home gadgets. What this means for the future of AI hardware.
The Trade-off Between Type Safety and AI Agent Tooling
Exploring how Skip Labs balances programming language design with practical constraints for building cost-effective AI agent infrastructure.
OpenAI DevDay 2024: Dots, Ultrafast Models, and the Agent Era
Live coverage of OpenAI's keynote announcing Dots personal agents, GPT-6.1 Sol, Ultrafast inference, and ChatGPT Sites at DevDay 2024.
Gemini 3.8 Live Avatar: The Next Frontier for Enterprise AI Agents
Google's Live Avatar brings realistic visual presence to conversational AI with lip-sync, multilingual support, and asynchronous tool calling for enterprises.
Docker Sandboxes Give AI Agents Real Isolation, Not Just Containers
Docker's new Sandbox Kits and Cloud Sandboxes create reproducible, isolated environments for AI agents. Here's why that matters for the future of autonomous workflows.
Cloudflare's cf CLI: When Tools Are Built for Agents, Not Humans
Cloudflare's new cf CLI expands from 280 to 3000+ operations and prioritizes agent usability over human workflows. What does this mean for the future of developer tools?
Holo4 Shows Open Models Can Handle Real Business Workflows
H company's new agentic models combine GUI, API, and code interfaces in one system, challenging the notion that only frontier models can automate complex business tasks.
Holo4: The Multi-Interface Agent That Actually Works
New agentic models that seamlessly switch between GUIs, APIs, and code. Why this matters for real business automation.
Docker Sandboxes Give AI Agents Real Boundaries
Docker's new Sandbox Kits and Cloud Sandboxes create reproducible, isolated environments for AI agents. Here's why that matters for the future of autonomous tooling.
Why Your AI Agent Works Once But Fails the Next Time
Most benchmarks hide consistency problems behind averages. A new diagnostic tool exposes why capable agents produce unreliable results and how to fix it.
Why Your AI Agent Works Once But Fails the Second Time
Consistency gaps in LLM agents are hiding in plain sight. Why average accuracy masks unreliability, and how to measure what users actually care about.