🤖🧠 Plandex AI: The Future of Autonomous Coding Agents for Large-Scale Development
🗓️ 11 Nov 2025
📚 AI News & Trends
As software development becomes increasingly complex, developers are turning to AI tools that can manage, understand and automate large portions of the coding workflow. Among the most promising innovations in this space is Plandex AI, an open-source terminal-based coding agent designed for real-world, large-scale projects. Unlike simple AI coding assistants that handle small snippets, Plandex ...
#PlandexAI #AutonomousCoding #LargeScaleDevelopment #AICoding #OpenSourceAI #CodeAutomation
🗓️ 11 Nov 2025
📚 AI News & Trends
As software development becomes increasingly complex, developers are turning to AI tools that can manage, understand and automate large portions of the coding workflow. Among the most promising innovations in this space is Plandex AI, an open-source terminal-based coding agent designed for real-world, large-scale projects. Unlike simple AI coding assistants that handle small snippets, Plandex ...
#PlandexAI #AutonomousCoding #LargeScaleDevelopment #AICoding #OpenSourceAI #CodeAutomation
✨SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios
📝 Summary:
SWE-EVO is a new benchmark for AI coding agents that evaluates them on long-horizon, multi-step software evolution tasks across many files. It reveals a significant gap in current models abilities, with even top models achieving only 21 percent resolution. This highlights their struggle with sust...
🔹 Publication Date: Published on Dec 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.18470
• PDF: https://arxiv.org/pdf/2512.18470
✨ Datasets citing this paper:
• https://huggingface.co/datasets/Fsoft-AIC/SWE-EVO
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For more data science resources:
✓ https://t.me/DataScienceT
#AICoding #SoftwareEvolution #Benchmarking #LLMs #AIResearch
📝 Summary:
SWE-EVO is a new benchmark for AI coding agents that evaluates them on long-horizon, multi-step software evolution tasks across many files. It reveals a significant gap in current models abilities, with even top models achieving only 21 percent resolution. This highlights their struggle with sust...
🔹 Publication Date: Published on Dec 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.18470
• PDF: https://arxiv.org/pdf/2512.18470
✨ Datasets citing this paper:
• https://huggingface.co/datasets/Fsoft-AIC/SWE-EVO
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#AICoding #SoftwareEvolution #Benchmarking #LLMs #AIResearch
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