I'm working on an agent-based tool for software development. I'm getting quite a lot of value out of it. The intention is to minimize copy-pasting and work on c

I'm working on an agent-based tool for software development. I'm getting quite a lot of value out of it. The intention is to minimize copy-pasting and work on complex, multi-file features that are too large for ChatGPT, Copilot, and other AI development tools I've tried. https://github.com/plandex-ai/plandex https://github.com/plandex-ai/plandex It's working quite well though I am still ironing out some kinks (PRs welcome btw). I think the key to agents that really work is understanding the limitations of the models and working around them rather than trying to do everything with the LLM. In the context of software development, imo we are currently at the stage of developer-AI symbiosis and probably will be for some time. We aren't yet at the stage where it makes sense to try to get an agent to code and debug complex tasks end-to-end. Trying to do this is a recipe for burning lots of tokens and spending more time and than it would take to build the thing yourself. But if you follow the 80/20 rule and get the AI to do the bulk of the work, intervening frequently to keep it on track and then polishing up the final product manually at the end, huge productivity gains are definitely in reach.