Live feed

github.com · 2026-10-18 · Ranked: agent match · community signal · fresh 0.98 · score 2.33 · Context

Lazyagents – Lazygit for AI coding agents

infoq.com · 2026-10-17 · Ranked: agent + codex match · practitioner analysis · fresh 0.83 · score 2.21

Reverse Engineer Anything Project Brings AI Agents to Binary Analysis

Reverse Engineer Anything (REA) is an open-source project with over 200K GitHub stars that connects coding agents such as Claude Code and Codex to reverse-engineering tools like Ghidra, Hopper, and IDA. The project le... Context & related coverage →

anthropic.com · 2026-10-16 · Ranked: research watch · fresh 0.82 · score 1.91

The AI expectations gap

How will AI reshape the economy in the years ahead? What is the core source of disagreement about AI's future impact on the economy? This note presents new survey evidence on these questions. Context & related coverage →

infoq.com · 2026-10-16 · Ranked: agent + harness match · practitioner analysis · fresh 0.75 · score 1.89

Google EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments

Google researchers open sourced EnvHarness, a framework that dynamically adapts agent-training environments to an agent's weaknesses without modifying the agent, environment, or evaluation system. According to the res... Context & related coverage →

anthropic.com · 2026-10-16 · Ranked: research watch · fresh 0.83 · score 1.78

Designing more efficient quantum circuits with Claude

Working largely on its own, Claude designed quantum circuits that improve on the best published versions, in some cases by an order of magnitude or more. Context & related coverage →

interconnects.ai · 2026-10-17 · Ranked: practitioner analysis · fresh 0.89 · score 1.72

Meta shakes up the frontiers, open and closed

US open weights are back! Context & related coverage →

simonwillison.net · 2026-10-16 · Ranked: agentic + claude code match · practitioner analysis · fresh 0.77 · score 1.68

Quoting Addy Osmani, Morgan Westlee Lunt, and Qing Wang

We think "did a human read the code?" is an imprecise proxy for "what could go wrong with this change, and which check—automated or human—is the right one to catch it?" Asking that question also changed when review ha... Context & related coverage →

latent.space · 2026-10-17 · Ranked: practitioner analysis · fresh 0.84 · score 1.57

[AINews] High Taste Testers Ep. 1

a quiet day lets us pilot a new show Context & related coverage →

vllm.ai · 2026-10-16 · Ranked: agent match · practitioner analysis · fresh 0.64 · score 1.54

Hyper Optimizing Kimi K3 in vLLM: Moving Fast and Responsibly

How agent-assisted CuTe DSL optimizations accelerate Kimi K3 decode on NVIDIA GB300, and how scoped changes, correctness tests, and reproducible benchmarks help ship them responsibly. Context & related coverage →

vllm.ai · 2026-10-16 · Ranked: agent match · practitioner analysis · fresh 0.64 · score 1.46

Scaling Kimi K3 on AMD Instinct MI355X: Matching NVIDIA HGX B300 Throughput per GPU on AgentX

Inside the Kimi K3 optimization effort: understanding the bottlenecks and the decisions that made inference faster Context & related coverage →

openai.com · 2026-10-16 · Ranked: agent + codex match · frontier lab · fresh 0.54 · score 1.00

Stack Overflow for Agents triples signups with ChatGPT plugin

Two engineers shipped Stack Overflow for Agents in a few weeks with Codex, and its ChatGPT plugin helped drive up to 10× growth in agent creation. Context & related coverage →

openai.com · 2026-10-16 · Ranked: codex match · frontier lab · fresh 0.54 · score 1.00

Benefit Street Partners answers questions faster with Codex

Anant Kumar builds tools to compare loan valuations and analyze credit agreements, using Codex for code review and faster follow-ups. Context & related coverage →