Local LLMs for agentic coding: a real-world viability report
📰 Dev.to AI
Learn how local LLMs perform in real-world agentic coding tasks, including file reads and writes, and understand their viability
Action Steps
- Read the report by Birgitta Böckeler on Martin Fowler's blog to understand the nuances of local LLMs
- Run small local models for agentic coding to test their performance
- Configure local LLMs to handle file reads and writes for full agentic tasks
- Test the viability of local LLMs in real-world scenarios
- Compare the results with cloud-based LLMs to determine the best approach
Who Needs to Know This
Developers and engineers interested in agentic coding and local LLMs can benefit from this report to inform their technology choices and architecture decisions
Key Insight
💡 Local LLMs can perform well in real-world agentic coding tasks, but their viability depends on specific use cases and requirements
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🤖 Local LLMs for agentic coding: a nuanced viability report 📊
Key Takeaways
Learn how local LLMs perform in real-world agentic coding tasks, including file reads and writes, and understand their viability
Full Article
A new write-up from Thoughtworks engineer Birgitta Böckeler on Martin Fowler's blog documents what actually happens when you run small local models for agentic coding — not autocomplete, full agentic tasks with file reads and writes. The verdict is nuanced, honest, and worth reading if you've been tempted by local-first setups. The short version: not plug-
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