newsletterAugust 17, 2026·Towards Data Science

Three Generations of Autoscaling — And Why Agentic Traffic Breaks All of Them

How autonomous agents broke two decades of capacity planning — and what to build instead The post Three Generations of Autoscaling — And Why Agentic Traffic Breaks All of Them appeared first on Towards Data Science.

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•How autonomous agents broke two decades of capacity planning — and what to build instead The post Three Generations of Autoscaling — And Why Agentic Traffic Breaks All of Them appeared first on Towards Data Science.
•This story was reported by Towards Data Science, covering developments in the newsletter space.
•AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage.

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Webwright: Why AI Web Agents Should Write Code, Not Click

For years, web agents have worked one click at a time—and often fallen apart on long tasks. Microsoft Research’s Webwright makes a different bet: give the model a terminal and let it write the program instead. On long-horizon tasks, the same GPT-5.4 model jumps from 33.5% to 60.1% success. And inste

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How to Perform Effective Project Management with AI

Become a more productive software engineer with LLMs The post How to Perform Effective Project Management with AI appeared first on Towards Data Science.

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Import AI 469: Science AI; RSI simulator; and Zuck’s technological pessimism

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now DiG-bench shows that Fable displays some creative intuition:…The new frontier for analyzing AI systems is understandin

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Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline

Enterprise Document Intelligence [Vol.1 #13bis] - The four bricks return useful results most of the time. Loop engineering is what the system does the rest of the time: when retrieval misses, when generation fails the schema, when the listing comes back incomplete, when an API call times out. Three

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Three Generations of Autoscaling — And Why Agentic Traffic Breaks All of Them

Key Takeaways

Related Articles

Webwright: Why AI Web Agents Should Write Code, Not Click

How to Perform Effective Project Management with AI

Import AI 469: Science AI; RSI simulator; and Zuck’s technological pessimism

Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline

Discussion

Three Generations of Autoscaling — And Why Agentic Traffic Breaks All of Them

Key Takeaways

Related Articles

Webwright: Why AI Web Agents Should Write Code, Not Click

How to Perform Effective Project Management with AI

Import AI 469: Science AI; RSI simulator; and Zuck’s technological pessimism

Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline

Discussion

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Towards Data Science
Webwright: Why AI Web Agents Should Write Code, Not Click
For years, web agents have worked one click at a time—and often fallen apart on long tasks. Microsoft Research’s Webwright makes a different bet: give the model a terminal and let it write the program instead. On long-horizon tasks, the same GPT-5.4 model jumps from 33.5% to 60.1% success. And inste

Towards Data Science
How to Perform Effective Project Management with AI
Become a more productive software engineer with LLMs The post How to Perform Effective Project Management with AI appeared first on Towards Data Science.

Import AI
Import AI 469: Science AI; RSI simulator; and Zuck’s technological pessimism
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now DiG-bench shows that Fable displays some creative intuition:…The new frontier for analyzing AI systems is understandin

Towards Data Science
Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline
Enterprise Document Intelligence [Vol.1 #13bis] - The four bricks return useful results most of the time. Loop engineering is what the system does the rest of the time: when retrieval misses, when generation fails the schema, when the listing comes back incomplete, when an API call times out. Three