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エージェントとバイブコーディング

280件

ChromeDevTools/chrome-devtools-mcp

GitHub Trending (weekly)GitHubChromeDevTools/chrome-devtools-mcp

9月6日
affaan-m/ECC

GitHub Trending (weekly)GitHubaffaan-m/ECC

9月6日
magnitudedev/magnitude

GitHub Trending (weekly)GitHubmagnitudedev/magnitude

9月6日
K-Dense-AI/scientific-agent-skills

GitHub Trending (weekly)GitHubK-Dense-AI/scientific-agent-skills

9月6日
Gitlawb/openclaude

GitHub Trending (weekly)GitHubGitlawb/openclaude

9月6日
THU-MAIC/OpenMAIC

GitHub Trending (weekly)GitHubTHU-MAIC/OpenMAIC

9月6日
WorldFlowAI/everything-claude-code

GitHub Trending (daily)GitHubWorldFlowAI/everything-claude-code

9月6日
ruvnet/ruflo

GitHub Trending (daily)GitHubruvnet/ruflo

9月6日
cathrynlavery/diagram-design

GitHub Trending (daily)GitHubcathrynlavery/diagram-design

9月6日
anthropics/skills

GitHub Trending (daily)GitHubanthropics/skills

9月6日
NousResearch/hermes-agent

GitHub Trending (daily)GitHubNousResearch/hermes-agent

9月6日
mattpocock/skills

GitHub Trending (daily)GitHubmattpocock/skills

9月6日
Scaling Agentic RL: High-Throughput Agentic Training with Tunix

Google Developers BlogLabsScaling Agentic RL: High-Throughput Agentic Training with Tunix Tunix is Google’s new JAX-native post-training library designed to eliminate TPU idling bottlenecks when training multi-turn, tool-using LLM reasoning agents. It maximizes hardware throughput by combining highly concurre

9月6日
Agent and Model Evaluations in Gemini Enterprise Agent Platform are now GA

Google Developers BlogLabsAgent and Model Evaluations in Gemini Enterprise Agent Platform are now GA Agent Platform's evaluation service is now generally available, providing developers with a unified engine to measure agent quality consistently across local development experiments and live production traffic. You can e

9月6日
Enable on-demand expertise with Agent Skills in Genkit Go

Google Developers BlogLabsEnable on-demand expertise with Agent Skills in Genkit Go To prevent context window bloat and reduce token consumption, Genkit Go introduces Agent Skills based on a progressive disclosure architecture. Developers can package specialized instructions, scripts, and references int

9月6日
Scaling real-time AI agents with session-aware load balancing

Google Developers BlogLabsScaling real-time AI agents with session-aware load balancing Real-time AI agents break traditional request-response load balancing paradigms because they rely on long-lived, stateful bidirectional streams that obscure true server capacity. To solve this, developers must implement

9月6日
Scaling AI Agent Infrastructure with the MCP Stateless updates

Google Developers BlogLabsScaling AI Agent Infrastructure with the MCP Stateless updates The 2026-07-28 Model Context Protocol (MCP) specification replaces legacy stateful constraints with a fully stateless core, enabling cloud-native horizontal scaling, serverless deployments, and standard round-robin load

9月6日
Agent Plugins package your skills, tools, and more

Google Developers BlogLabsAgent Plugins package your skills, tools, and more Agent Plugins 1.0.0 is a new, vendor-neutral directory specification—backed by Google, Amazon, Microsoft, and others—for packaging Agent Skills and MCP servers into a single portable unit. By standardizing the manifest (

9月6日
Build zero-trust AI agents with Google's Agent Development Kit

Google Developers BlogLabsBuild zero-trust AI agents with Google's Agent Development Kit Building autonomous AI agents that mutate production state requires moving beyond soft system prompts to a robust zero-trust architecture. To secure Google Agent Development Kit (ADK) workflows against prompt injections

9月6日
How to Evaluate Live & Voice Agents in ADK

Google Developers BlogLabsHow to Evaluate Live & Voice Agents in ADK Moving live voice agents from demo to production requires rigorous, automated testing to handle the unpredictability of real multi-turn conversations. ADK now provides native live evaluation, allowing developers to test

9月6日
4 engineering patterns behind the strongest AI Agents Challenge submissions

Google Developers BlogLabs4 engineering patterns behind the strongest AI Agents Challenge submissions The recent Google for Startups AI Agents Challenge revealed that the most successful multi-agent systems rely on foundational software engineering patterns rather than just raw model power. Winning architectures consiste

9月6日
How Figma Uses AI Agents for Security

InfoQ AIGitHubHow Figma Uses AI Agents for Security The engineering team at software company Figma recently documented how they built AI agents to help their security team investigate alerts, search past incidents, check company systems, and even prepare code fixes. The a

9月6日
Zenn (AI)

Zenn (AI)JapanClaude Codeで仕様駆動開発、企画から保守まで全部教えたるで Claude Codeを活用した仕様駆動開発の全体像を9フェーズに分けて解説するで。GitHub Issueに要件を集約してPlanモードから開始するアプローチで、開発の各フェーズを大幅に効率化する実践事例を紹介するんや。

9月5日
Zenn (AI)

Zenn (AI)JapanClaude Code に「continue」と20回打っていた — 空応答を記録から数え、外から起こす Claude Code を1日中回していると、ときどき 何も言わずに止まる ことがあります。エラー表示は出ない。ツールの結果は返っている。でも次の一手が来ない。こちらが continue と打つと、何事もなかったように続きが動く。 「まあそういうこともある」で流していたのですが、セッション記録を数えてみたら、思っていたより多かったので書きます。 数えたもの Claude Code は会話を ~/.claude/projects/<プロジ

9月5日