MULTI-AGENT
30 days · UTC
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Claude Code 2.1.92 ships fail-closed policy, AWS Bedrock setup wizard, and clearer cost telemetry; Anthropic details a three-agent harness for long-running work
Anthropic updated Claude Code with stronger governance, easier AWS Bedrock setup, and better cost visibility, while sharing a concrete pattern for lon...
Copilot goes agent-first: CLI gets CI-friendly MCP auth, Studio ships multi‑agent GA
GitHub is tightening its agent tooling: Copilot CLI adds CI-friendly MCP auth and persistent config, while Copilot Studio’s multi-agent orchestration ...
Antigravity Awesome Skills v9.4.0 hardens the agentic coding stack
The Antigravity Awesome Skills library shipped v9.4.0 focused on validation, CI guardrails, and marketplace sync reliability instead of new skills. T...
Multi-agent coding is getting a real playbook: when to verify, how to evaluate
Multi-agent coding is maturing with clearer evaluation tooling and caveats on verification, offering a workable playbook for reliable AI-assisted engi...
Anthropic’s three-agent harness keeps long-running coding agents on track
Anthropic details a three-agent harness that keeps Claude coherent on multi-hour autonomous coding tasks by decomposing work and grading outputs. Ant...
OpenAI ships GPT-5.4 mini (and nano): faster, cheaper models for coding, agents, and multimodal work
OpenAI released GPT-5.4 mini (and nano), bringing near-flagship performance at lower cost and latency, with initial availability across ChatGPT and th...
Copilot CLI and SDK push agentic workflows to the terminal
GitHub is moving agentic development beyond the IDE with the [Copilot CLI](https://github.blog/ai-and-ml/github-copilot/power-agentic-workflows-in-you...
Practical evaluation for multi-agent LLM systems: datasets + trajectory checks
A practitioner shares a concrete evaluation framework for agentic systems: start with curated task datasets and ground-truth scoring to run hyperparam...
MassGen: open-source multi-agent orchestrator for LLM workflows
MassGen is an open-source system that runs in your terminal to coordinate multiple LLM agents in parallel, letting agents observe and refine each othe...
How to Pick an Agentic AI Framework for Production
Omdena’s roundup explains that agentic AI frameworks add memory, tool use, planning, and execution control compared to basic LLM calls. It outlines se...
Oh My OpenCode: 7 parallel AI agents for coding
A new plugin called Oh My OpenCode coordinates seven specialized AI agents to work in parallel on coding tasks. The approach aims to speed up code cha...