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AI Coding Agents

404 summarised stories about AI Coding Agents, each linking back to the original source. Browse all topics →

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Monday, 10 August 2026

Meta Muse Code vs. Fable 5: Meta Muse is cheaper, but at what cost?

The New Stack 2 months ago 43 ● 4 sources

Meta released Muse Code, an AI coding agent built on Muse Spark 1.2, and the article compares its output to Claude Code running Fable 5 on the same three JavaScript tasks. Muse Code (version 0.1.0) completed the debugging job in 2 minutes 58 seconds using 2.25 million tokens for $0.025, while Claude Code took 5 minutes 31 seconds for $3.02. The lower contributor-tier cost came with less “depth and polish,” with the article reporting dead code and less thorough finishing that would likely require expert review despite passing test suites.

“It blows my mind”-“It has a tendency to overengineer things a little”: Developers react to road-testing OpenAI GPT‑5.6 Sol

The New Stack 2 months ago 12 ● 7 sources

Developers are road-testing OpenAI’s GPT-5.6 Sol and comparing it with other models based on real tasks like content generation, math problem solving, and coding workflows. Shouqiao Wang says he solved six open Erdős problems in five days using GPT-5.6 Sol with the “ultra” reasoning effort setting. Users report stronger capability in long, rigorous searches and higher-level architecture help, but also note it can overengineer and may still be less suitable for some smaller frontend tasks.

V4-Flash vs. V4-Pro: DeepSeek promised better and cheaper. It’s true, but not how I expected.

The New Stack 2 months ago 53 ● 4 sources

DeepSeek moved its V4-Flash model out of preview and published benchmark claims that it beats V4-Pro on coding and agentic tasks despite a much lower price. V4-Flash is listed at $0.14 per 1M input tokens and $0.28 per 1M output tokens, about one-third of V4-Pro’s $0.435 and $0.87. In side-by-side OpenCode tests on a Rich-codebase suite, Flash and Pro tied on bug-fix and feature tasks, but Flash performed better on a 5,000-row table optimization while Pro stayed cheaper on token volume for a slightly smaller speedup.

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