I Ship One AI Testing Feature Every Day — Here's What 6 Days Looks Like

I launched swarm-test 6 days ago. It's the first reliability testing tool
for multi-agent AI systems. Here's what I've shipped every single day:

Day 0: Launch — 5 chaos tests, GitHub + PyPI
Day 1: Timeout resilience — found 22 new issues in my 14-agent system
Day 2: JSON export — another developer integrated it into his runtime gate within hours
Day 3: LangGraph adapter — doubled the addressable user base
Day 4: Sensitive data detection — 23 pattern types (AWS keys, JWT, credit cards)
Day 5: Per-agent health scores — every agent gets a 0-100 rating
Day 6: Before/after comparison — measure if changes actually helped

[Include screenshots from each day]

What I learned: shipping daily does three things:

1. Forces you to keep features small and shippable
2. Gives you something to post about every day
3. Shows users the project is alive and actively maintained

What's next: AutoGen adapter, GitHub Action, YAML config,
plugin system for community tests.

Try it: pip install swarm-test
GitHub: github.com/surajkumar811/swarm-test .