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by anotherpaulg
690 days ago
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I’m the author of aider, an ai pair programming tool. I use aider to develop aider, and it keeps track of how much of its own code that it writes. Aider wrote 58% of the code in the last release, and >40% of the previous few. The release history page [0] plots this stat for each release over the last 12+ months. The overall trend is pretty cool, especially since Claude 3.5 Sonnet. It’s not an enterprise code base, but it’s not a toy code base either. [0] https://aider.chat/HISTORY.html |
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Currently continue uses vector search of chunks which is just a crutch. I am not sure what copilot or Aider does, but the right context is key.
Another way to improve a coding assistant is to move away from simple paradigms to agent based Workflow that can deploy sub agents and break down tasks. All in the back autonomously while you code and then it surfaces suggestions or changes. This will get possible with increasing inference speeds (groq) and better agent frameworks.
Most devs at our company say LLMs are useless for coding and github copilot is a glorified autocomolete costing 20USD. I think the tech and ecosystem will improve a lot over time and they underestimate LLM abilities due to their bias.