Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?
Live-SWE-agent is notable because it moves self-improvement into runtime. Rather than performing an offline search for a better scaffold, the agent modifies its own scaffold while solving software tasks.
Why it matters
Software engineering is the natural proving ground for recursive improvement: the agent’s substrate is code, the task output is code, and feedback can be partially automated through builds, tests, static checks, and benchmark evaluation.
ASI relevance
If live self-evolution becomes reliable, agents can adapt their tools and control flow to the problem distribution they are currently facing. That is a more fluid route to capability gains than fixed hand-authored scaffolds.