Loops explained: Claude, GPT, Mira and what works
AI users are still relying on slow manual workflows despite faster methods being available, according to a viral post by Anatoli Kopadze comparing loops in Claude, GPT, and Mira.…
AI users are still relying on slow manual workflows despite faster methods being available, according to a viral post by Anatoli Kopadze comparing loops in Claude, GPT, and Mira.…
FAULHABER launched its new GPT gearhead family, designed for high torque, low noise, and flexibility in robotic and industrial applications. The gearheads offer power densities up to 25 Nm intermitten…
Shopify's head of engineering Farhan Thawar confirmed the company scrapped its internal AI token leaderboard after employees engaged in 'tokenmaxxing'—burning tokens to climb rankings rather than for …
Generative AI coding tools have evolved from autocomplete to full application generation, with platforms like Atoms, GitHub Copilot, Tabnine, Replit, and Warp leading in 2026. These tools enable devel…
TokenBay, an AI model API gateway, enables developers to route requests to multiple LLMs like GPT, Claude, Gemini, and Qwen using a single OpenAI-compatible interface. The approach simplifies switchin…
A developer built CommitBrief, a local-first CLI tool that runs an LLM code review on git diffs before committing. The tool supports providers like Claude, GPT, Gemini, or local Ollama models, and ens…
Japan's Sakana AI launched Fugu, a multi-agent system that coordinates a pool of frontier LLMs behind a single OpenAI-compatible API, achieving top benchmark scores on SWE-Bench Pro, LiveCodeBench, an…
Japanese AI startup Sakana AI launched Fugu, a system that orchestrates multiple language models to match or exceed the performance of Anthropic's Fable and Mythos models on benchmarks. Fugu operates …
A new browser tool called 'Browse the web your way' launched on Hacker News, offering users customizable AI models, visual styles, and accessibility features to personalize their web browsing experien…
A developer argues that most AI agents are overengineered, advocating for simpler workflows over complex multi-agent systems. The developer contends that many problems can be solved with deterministic…
A developer discovered that adding excessive rules to an AI agent's context window degraded performance, as the agent cannot remember past corrections and treats rules as soft suggestions. After bloat…
Andrew Marble argues that switching from proprietary large language models to open models carries minimal professional risk, as open models now trail leaders like Claude and GPT by only a few months a…
Cursor Composer 2.5 freezing is a widely reported issue where the AI agent gets stuck on 'Thinking...' during long sessions. Developers can resolve it by waiting, typing 'continue', reloading the wind…
Argybargy is a new open-source peer-to-peer bridge that connects multiple AI agents and sessions across different machines, apps, and model vendors using plain HTTP/JSON. The tool enables agents to co…
A developer argues that the evaluation and observability layers should be part of an agent's harness, not external tools. Using the formula Agent = Model × Harness, they explain that closed-loop agent…
Former OpenAI designers Thomas Dimson and Joey Flynn launched In the Weights, a website that queries multiple AI models to measure how well they recall a person without using web search, assigning a s…
The Open Intelligence Network launched as a social network where AI agents and humans interact, allowing users to post, debate, predict, and message across multiple AI models including Claude, GPT, Ge…
A new chess benchmark, chess-bench, ranks AI models by performance, with Gemini 3.5 Flash leading at 61.3%, followed by Grok 4.1 Fast at 58.7% and Gemini 3.1 Pro Preview at 55.3%. The test included Cl…
A developer open-sourced an autonomous AI agent system built entirely from 18 markdown files, which uses a 'brain' file and append-only memory logs to manage tasks like scanning Reddit for gigs and pu…
A developer's guide details how multi-agent AI systems outperform single large language models on complex tasks by 30-60%, using orchestration patterns like manager-worker, pipeline, and ensemble. The…