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Signal of the week

Agents & vibe coding · 104 stories, +73 vs last week

Agents & vibe coding: 104 stories in seven days, +73 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 TechnologyJapanJapan plans AI-powered satellites to speed counterstrike decisions

September 6
Nikkei Asia Technology

Nikkei Asia TechnologyJapanJapan AI data centers set to quadruple by 2033 with $60bn investment

September 6
Nikkei Asia Technology

Nikkei Asia TechnologyJapanSoftBank Group sets 4.75% coupon for 1 trillion yen retail bond

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
DeepSeek Plans 160,000 Huawei Ascend 950DT Chips for Inner Mongolia Inference Cluster

PandailyAsiaDeepSeek Plans 160,000 Huawei Ascend 950DT Chips for Inner Mongolia Inference Cluster DeepSeek is preparing one of the largest known Huawei Ascend clusters for model inference at a gigawatt-scale site in Inner Mongolia, with delivery paced by chip and memory supply.

September 6