mini-swe-agent

> This is why we're seeing the bulk of gains from things like MCP and, now, "agents". This is objectively not true. The models have improved a ton (with data from "tools" and "agentic loops", but it's still the models that become more capable). Check out [1] a 100 LoC "LLM in a loop with just terminal access", it is now above last year's heavily harnessed SotA. > Gemini 3 Pro reaches 74% on SWE-bench verified with mini-swe-agent! [1] - https://github.com/SWE-agent/mini-swe-agent

It's 100% the models. Terminal bench is a good indication for this. There the agents get "just a terminal tool", and yet they still can solve lots and lots of tasks. Last year you needed lots of glue, and two years ago you needed monstrosities like langchain that worked maybe once in a blue moon, if you didn't look funny at it. Check out the exercise from the swe-agent people who released a mini agent that's "terminal in a loop" and that started to get close to the engineered agents this year. https://github.com/SWE-agent/mini-swe-agent