For coding agents, real-time collaboration beats the "wisdom of the crowd"
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tl;dr: I ran AI coding agents on 30 Project Euler problems in two ways: five agents working separately, and five agents collaborating in real time. For both, I also computed the majority vote across the five answers at the end. The collaborating agents beat both the separate agents and their majority vote. Average accuracy without the vote went from 72% to 87%. The setup I had AI coding agents, specifically Gemini 3.5 Flash running through Antigravity, tackle 30 math and programming problems…
1Key Takeaways
- tl;dr: I ran AI coding agents on 30 Project Euler problems in two ways: five agents working separately, and five agents collaborating in real time.
- For both, I also computed the majority vote across the five answers at the end.
- The collaborating agents beat both the separate agents and their majority vote.
- Average accuracy without the vote went from 72% to 87%.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that tl;dr: I ran AI coding agents on 30 Project Euler problems in two ways: five agents working separately, and five agents collaborating in real time.
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