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SWE-agent

AI coding

SWE-agent is an open-source project built and maintained by researchers at Princeton University and Stanford University, designed to let a user-selected large language model (such as GPT-4o or Claude Sonnet 4) autonomously use tools to automatically fix issues in real GitHub repositories, discover cybersecurity vulnerabilities, or perform custom tasks. The project achieves leading performance on the SWE-bench benchmark for open-source projects, is designed to give the language model maximum autonomy, can be configured through a single yaml file, and comes with complete documentation, making it easy for research and secondary development. The project uses the MIT License. Currently, most development work has shifted to its successor project mini-SWE-agent, and the official recommendation is to prioritize mini-SWE-agent going forward.

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talkpix-ai-talking-photo-resources

AI coding

The TalkPix AI resource repository is a free collection of resources for AI talking photos, singing photos, lip-sync videos, and AI avatar videos, including prompts, sample scripts, how-to guides, and best practices. The repository itself is not standalone software, but a documentation and asset library used together with the TalkPix AI online video creation platform. Users can upload a portrait photo in the browser, enter text or upload audio, and after selecting a voice, generate a lip-synced talking or singing video. The repository content covers getting-started guides, 10 ready-to-use script examples, image preparation suggestions, voice and audio processing tips, and application scenarios such as e-commerce and social media, making it suitable for content creators, educators, e-commerce store owners, and marketers to use as a reference.

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