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Signal of the week

Agents & vibe coding · 105 stories, +74 vs last week

Agents & vibe coding: 105 stories in seven days, +74 on the week before.

Scaling Agentic RL: High-Throughput Agentic Training with Tunix

LabsScaling Agentic RL: High-Throughput Agentic Training with Tunix Google Developers Blog

Agent and Model Evaluations in Gemini Enterprise Agent Platform are now GA

LabsAgent and Model Evaluations in Gemini Enterprise Agent Platform are now GA Google Developers Blog

Latest

abi/screenshot-to-code

GitHub Trending (weekly)GitHubabi/screenshot-to-code

September 6
checkstyle/checkstyle

GitHub Trending (weekly)GitHubcheckstyle/checkstyle

September 6
ChromeDevTools/chrome-devtools-mcp

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

September 6
nvm-sh/nvm

GitHub Trending (daily)GitHubnvm-sh/nvm

September 6
bikini/exploitarium

GitHub Trending (daily)GitHubbikini/exploitarium

September 6
WorldFlowAI/everything-claude-code

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

September 6
Nikkei Asia Technology

Nikkei Asia TechnologyJapanSouth Korea considers 'military contributions' in Strait of Hormuz

September 6
Nikkei Asia Technology

Nikkei Asia TechnologyJapanJapan provides $1.4bn in subsidies to Imabari, other shipbuilders

September 6
Nikkei Asia Technology

Nikkei Asia TechnologyJapanJapan's MS&AD looks to enter Europe's reinsurance broker market

September 6
Run Ray on TPU, Part 1: The foundations

Google Developers BlogLabsRun Ray on TPU, Part 1: The foundations Ray 2.55 introduces official, first-class support for Google Cloud TPUs, enabling developers to run distributed Python workloads on Google's accelerators using the familiar Ray task-and-actor APIs. To handle the strict n

September 6
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

September 6
Qiita (LLM)

Qiita (LLM)JapanContext・Loop・Harness Engineeringの違いを、AIエージェントの設計とPythonで整理する AIエージェントに仕様書を渡したのに、古いAPIを使って実装する。テストに失敗すると、同じ修正を繰り返す。動くコードはできたが、本番環境への書き込みまで実行しようとする。 どれも「プロンプトを改善すればよい」と考えたくなる問題です。ただ、足りない情報、反復の進め方、実行権...

September 6