Top Hacker News discussion.
cognition
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Feature
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.
Read full article →Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Top Hacker News discussion.
cognition
Hi everyone, sharing some notes from running hundreds of automated agent sessions across Claude Code, Codex, and Cursor. We started logging raw API request payloads over a local proxy to see where the token budget actua…
r/ClaudeCode
I think the interesting question with AI agents isn't what they can do. It's what people are actually comfortable letting them do on their own. For example: Sending routine emails Updating a spreadsheet Scheduling meeti…
r/AI_Agents
Grammarly's been doing this to me for months — every doc I open has some AI rewrite suggestion sitting in the sidebar even though I turned that off in settings back in spring, and it quietly turned itself back on after…
r/AI_Agents
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
SpaceXAI's coding agent harness and TUI. Fullscreen, mouse interactive, extensible.
github | stars 26,648
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
The commodity illusion and the new geopolitics of compute
thoughtworks
In this article, we will look at how speculative decoding works.
blog.bytebytego
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
Scientific workflow management (WMSs) systems automate execution, yet orchestrate using fixed, hand-tuned rules. LLM agents promise more autonomous orchestration, but it remains unclear where to introduce agentic reason…
arxiv
This study develops a deep reinforcement learning framework for training Unmanned Aerial Vehicle (UAV) agents to navigate and monitor simulated wildfire environments. Results show that agents learn increasingly stable a…
arxiv
See how Credit Genie uses OpenWiki to automate repo documentation, reduce tribal knowledge, and give engineers and coding agents searchable codebase context.
langchain
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
We’ve added three new beta features that let Claude discover, learn, and execute tools dynamically. Here’s how they work.
anthropic
Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language.
openai
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
Databricks Inc. today expanded its Adaptive Instructed-Retriever search model to speed up response times for requests from artificial intelligence agents that require multiple rounds of retrieval. The company said the m…
siliconangle