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Tuesday, September 29, 2026
Feature
Replit and FetchSandbox MCP Simplify App Development and Testing
A Reddit user highlights how the integration streamlines the creation of applications, sparking interest in AI-driven workflows.
Why it mattersThe integration of Replit and FetchSandbox via MCP illustrates a shift towards streamlined, AI-driven development workflows. This evolution challenges developers to balance efficiency with maintaining control and understanding of their applications' underlying systems.
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Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Around the Web
AI's Revenue Reality Check
Top Hacker News discussion.
thenationalnews
Top Hacker News discussion.
jorgegarciaherrero
Agent Safety Shenanigans
Every time OpenAI ships something for agents, I see people saying “frameworks are dead.” After actually running agents in production, I’m not sure I buy that. The Agents API is pretty good, but I think there’s a point w…
r/AI_Agents
A while back I got curious about memory servers for coding agents. A lot of them have a handy feature: if a newer note comes in about the same thing, it replaces the old one. You switch from Postgres to MySQL, the agent…
r/AI_Agents
Every "rogue agent" thread this week is describing the same bug: an agent holding a broad tool grant, chasing a goal, with no boundary between the two. That is a permissions problem, the oldest one in computing. Systems…
r/AI_Agents
Tools
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 148,110
为 DeepSeek Harness (DSH) 插件生态打造的现代化桌面端解决方案。万物皆「插件」，桌面本身也是「插件」。
github | stars 29,509
Build
In this article, we will look at why this problem of hallucinations happens with LLMs and the techniques that can help make LLMs more dependable for answering.
blog.bytebytego
In this article, we are going to look at the process of LLM evaluation in detail.
blog.bytebytego
Research
A language-model agent is jointly defined by its model and its harness, the executable program that organizes model calls, tool use, and information flow. Because different tasks call for different ways of organizing th…
arxiv
Users of Workday's deployed LLM-based agents often request features which can be addressed by defining named procedures, also known as skills, in the LLM context, effectively augmenting agents' capabilities. However, as…
arxiv
Robots that learn from a few demonstrations often require two forms of generalization. Compositional generalization recombines skills to solve new tasks, and skill generalization lets the learned policy behind each skil…
arxiv
Playbooks
Microsoft Agent Framework supports creating agents that use the GitHub Copilot SDK as their backend. GitHub Copilot agents provide access to powerful coding-oriented AI capabilities, including shell command execution, f…
devblogs.microsoft
This document curates the most common questions Shreya and I received while teaching 5,000+ engineers and PMs AI Evals. Warning: These are sharp opinions about what works in most cases. They are not universal truths. Us…
hamel
Managed Deep Agents is the simplest way to build, deploy, and run agents in production. The 0.8 release adds support for user-owned credentials, user-level memory, HTTP channels, file transfer in Slack and a pre-built t…
langchain
News
Manually extracting data from hundreds of vendor contracts doesn't scale, and RAG chat tools fall short on portfolio-wide questions. This post shares a contract intelligence platform on AWS that uses AI agents to extrac…
aws.amazon
Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combining no-code and code-based platforms, sidestepping complex RAG setups,…
infoq
Claude Sonnet 5.5 New Sonnet model from Anthropic today. They say it "runs 30%+ faster, and costs up to 30% less for most work" - it's priced the same as Sonnet 5 but appears to beat it on every benchmark, and should be…
simonwillison