Autoloop adds autonomous loops to Claude Code

Autoloop is interesting because it shows the real moat in AI coding has shifted from raw model quality to the workflow around it. Once the loop can run, test, and verify without a human in every turn, the throughput gains stop feeling hypothetical.

• –It turns Claude Code into a plan-implement-test-fix cycle, which is exactly where agentic coding becomes useful instead of gimmicky.
• –The separate verifier is the strongest design choice: it runs real checks without seeing the conversation, which cuts down on self-reporting bias.
• –`--max-iterations` is a necessary safety rail; autonomy only works when runaway loops are bounded.
• –The 63-step, 20,000-line example is compelling, but it is still an anecdote, not a benchmark.
• –The broader "other fields next" claim is directionally right, but only workflows with clear evaluation loops will compound this cleanly.