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DeepSWE is a benchmarking platform that evaluates frontier coding agents on original, long-horizon software engineering tasks. It provides a public leaderboard, task examples, and tracks results across 113 tasks, 91 repositories, 5 programming languages, and 28 models.
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Kombai is an AI design engineer that designs websites and product UIs and ships production-ready frontend code. It offers a browser tool for editing rendered UI and sending browser context to prompts, reuse of components, tokens and hooks from repos, npm and Storybook, and a choice of 50+ models.
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An article presenting initial impressions of DSPy, a framework developed by the Stanford NLP group for algorithmically optimizing language model prompts. The author describes DSPy as closing the loop of prompt engineering by turning a manual process into a structured machine learning workflow. The piece notes it is not a substitute for the official documentation and covers topics such as teleprompter, optimization, compile, bootstrapping and metric functions.
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DeepSWE is a benchmarking platform that evaluates frontier coding agents on original, long-horizon software engineering tasks. It provides a public leaderboard, task examples, and tracks results across 113 tasks, 91 repositories, 5 programming languages, and 28 models.
Aider LLM Leaderboards presents quantitative benchmarks of LLM code editing skill. The polyglot benchmark tests LLMs on 225 Exercism coding exercises in C++, Go, Java, JavaScript, Python and Rust, and benchmarks evaluate an LLM's ability to follow instructions and edit code without human intervention.
Localforge is a free, open-source desktop GUI for Codex AI, Claude and other LLMs. It runs locally and lets autonomous agent loops edit files, run tests and work on large multi-file codebase tasks. It supports swapping providers and storing prompt templates, and is distributed under the MIT license.
Kombai is an AI design engineer that designs websites and product UIs and ships production-ready frontend code. It offers a browser tool for editing rendered UI and sending browser context to prompts, reuse of components, tokens and hooks from repos, npm and Storybook, and a choice of 50+ models.
Havoptic tracks releases and changelogs for AI coding tools including Claude Code, Cursor, Codex CLI and Gemini CLI, summarizing each release in plain English with full version history and daily updates. A public API and MCP server documentation provide access to release data, cadence stats and feature comparisons without authentication.
An article presenting initial impressions of DSPy, a framework developed by the Stanford NLP group for algorithmically optimizing language model prompts. The author describes DSPy as closing the loop of prompt engineering by turning a manual process into a structured machine learning workflow. The piece notes it is not a substitute for the official documentation and covers topics such as teleprompter, optimization, compile, bootstrapping and metric functions.
