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Thursday, September 10, 2026

Sep 11Sep 9

Feature

Uncovering Token Waste in AI Agent Sessions: Practical Fixes

Analyzing token budget inefficiencies in AI coding agents reveals 18 hidden drains that developers must address to optimize performance.

Why it mattersToken management is critical in AI coding agents, as inefficiencies can undermine performance gains. Developers must address hidden token drains to optimize costs and effectiveness, reflecting a broader shift toward smarter AI agent deployment.

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Around the Web

Cognition's New Heavyweight

AI Agent Insights

Tools

DietrichGebert/ponytail

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

github | stars 134,516

Qwen/Qwen3.8-27B

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

xai-org/grok-build

SpaceXAI's coding agent harness and TUI. Fullscreen, mouse interactive, extensible.

github | stars 26,648

Build

How to Steal an AI Model’s Private Thoughts

In August 2026, a team at MATS Research, the ELLIS Institute Tübingen, and the Max Planck Institute for Intelligent Systems wanted to test whether the encrypted reasoning blocks that Anthropic, OpenAI, and Google hand b…

blog.bytebytego

Research

Show-Harness: Just a VLM Agent Can Play Robots

Foundation vision-language models (VLMs) exhibit broad intelligence about the world, yet translating this intelligence into robot control remains challenging. We present Show-Harness, an Embodied Harness that enables VL…

arxiv

Playbooks

Introducing agent and workflow channels

An agent or workflow is only useful when people and other systems can reach it through the interfaces and channels they already use. That might be an OpenAI Responses client, Telegram, another agent using A2A, or an MCP…

devblogs.microsoft

News

Now everyone can put data to work

Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language.

openai

Agent Evaluation Metric for multi-turn conversations

Multi-turn agents fail in ways single-turn evaluation misses: one early mistake corrupts every later turn. This post introduces the Agent Evaluation Metric (AEM), a decomposable, turn-level way to measure agent quality,…

aws.amazon