AI Agents
Autonomous agents, multi-agent workflows and orchestration.
7 published articles
Visual AI interaction
Cursor just gave developers a smarter way to tell AI what to fix: point at it
Cursor's updated Design Mode lets engineers and designers modify UI by clicking elements, drawing on the page, or speaking changes aloud, while the AI agent extracts element identity, styles, and layout context to edit code. The approach accelerates iteration by aligning the model's pace with how humans spot and act on visual issues.
2026-07-12
AI Agents
OpenManus just killed the invite wall for AI agents. Here's how to run it in ten minutes.
OpenManus is an open-source AI agent framework anyone can install and run immediately: no invite code, no gimmicks, just a Python environment and an API key. Here is why you need it.
2026-07-11
AI Agents
Cursor just turned your iPhone into a serious coding machine
Cursor's new iOS beta app lets developers launch AI coding agents from anywhere, using cloud VMs or by remotely controlling their desktop. Live notifications and direct PR merging from the phone aim to turn mobile devices into serious development tools.
2026-07-11
AI Agents
The subtle trap waiting for AI agents in production
As AI agents move from demos to production, operators find that the hardest failures are not in reasoning but in subtle mismatches between autonomous planning and deterministic infrastructure. This analysis unpacks the three silent failure modes that keep CTOs up at night.
2026-07-10
AI Agents
Microsoft's bet on small models for agentic AI is about orchestration, not knowledge
Microsoft Research's MagenticLite project shows that small models can handle complex agentic tasks when orchestration, model design, and execution environment are codesigned. The release includes MagenticBrain, a 14B orchestrator, and Fara1.5, a computer-use model family that nearly doubles prior performance on web navigation benchmarks.
2026-07-09
AI Agents
Parallel agents aren't about speed. They're about coordination.
Parallel agents split complex tasks across concurrent workers, each with isolated state and defined scope. The real challenge isn't speed, it's coordination.
2026-07-09
AI Agents
AI agents can't finish a Java migration without the build server telling them to stop
IBM Research introduces ScarfBench, an open benchmark for evaluating AI agents on enterprise Java framework migration. Early tests reveal that frontier agents are systematically overconfident about their own results, that configuration layers dominate effort, and that environment issues like Docker caches regularly derail migrations even when code transformations succeed.
2026-07-06