AI Agents
Autonomous agents, multi-agent workflows and orchestration.
45 published articles
AI Agents
Cursor's swarm rebuilt SQLite from scratch. Same scores, wildly different bills
Cursor's redesigned agent swarm rebuilt SQLite in Rust from its manual alone and passed the full verification suite, cutting merge conflicts from 70,000-plus to under 1,000. Every model mix delivered similar quality at very different prices, and that gap is the story.
2026-08-05
Network Autonomy
AgentToolMO fixes a trust blind spot in multi-vendor agent networks
When Vendor B's tool is compromised, Vendor A's agents keep using it unaware. A new paper proposes a trust state machine with damped cascade propagation to bring containment from hours to near real-time.
2026-08-04
The Security Architecture of AI Coding Agents
Hugging Face's Slack bot queries production data. The LLM never sees the keys
Hugging Face runs an internal Slack coding agent, Moon Bot, that can query production databases and open PRs. Its security design keeps credentials out of the model's reach via Okta tiers, sandboxed bash, and local reverse proxies that inject keys server-side.
2026-08-04
AI infrastructure
Making agents pay is easy. Making them trustworthy is not.
Circle's Agent Stack provides the financial rails for the agentic economy: USDC payments, spending policies, and a service registry. But the real barrier isn't technology, it's governance. Without transparent audit trails and programmable guardrails, the promise of autonomous commerce remains theoretical.
2026-08-04
AI Agents
Zuckerberg's 24/7 agent promise runs into Meta's trust problem
Zuckerberg promises 24/7 consumer agents for health, relationships and finances, calling them Meta's next revenue wave. Distribution is real at WhatsApp scale, but a trust deficit and missing data ecosystems stand between the vision and the billions of users it needs.
2026-08-03
AI Development
Coding agents are leaving your local machine: Alibaba and Mistral go remote
Alibaba Cloud's Qoder introduces remote delegation for coding agents, letting developers offload long-running tasks to cloud sandboxes. The feature, paired with a new knowledge engine, pits Qoder directly against Mistral's remote agents in a race to decouple AI-assisted development from the local terminal.
2026-08-03
LLM Agents
The regression tax: why loading LLM agents with skills can backfire
A new study shows that adding procedural skills to LLM agents does not always help, it can introduce regressions, where tasks previously solved without skills are failed after skills are added. The research identifies three causes and argues that reliability depends more on grounding and verification than on the skill itself.
2026-08-03
Per-Call Routing's Blind Spot in Agentic AI
For agentic AI, per-call routing is the blind spot. TRACE-Router has a fix.
A new routing framework, TRACE-Router, tackles the mismatch between per-call LLM routers and task-level success metrics in agentic AI, gaining up to 8 accuracy points and 36% lower latency.
2026-08-01
Zero-shot AI for industrial root cause analysis
AgentRCA: zero-shot root cause analysis that explains its own reasoning
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2026-08-01
Deep Research AI
BAAI's new research agent doesn't just search longer, it checks its own homework
BAAI's AREX agents use a recursive self-improvement loop that compresses long research histories, enabling efficient verification-driven refinement. Trained with a novel long-horizon RL recipe, they outperform comparable baselines on BrowseComp, DeepSearchQA, and HLE.
2026-07-31
GUI Agents
Alibaba's Qwen-UI-Agent scores higher on real phones than in sandboxes
Alibaba Tongyi Lab's Qwen-UI-Agent claims state-of-the-art mobile scores (97.5% AndroidDaily) and competitive computer-use results against Opus 4.8, Gemini 3.1 Pro, and GPT-5.6 Sol. Its real-device benchmark score beats its sandbox score, while 40% partial progress on OSWorld-v2 is the honest limit.
2026-07-31
Multi-Agent Engineering
Qoder's multi-agent experiment: 60% fewer mistakes, but at what cost?
An analysis of Alibaba Cloud's Qoder Experts Mode, which deploys specialized AI agents as a coordinated team. Claims of significant error reduction are scrutinized against real-world use cases and the trade-offs of multi-agent complexity.
2026-07-31