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Public (Atomic)•AI / DevTools
AI Dev Tooling Survey
How do developers actually use AI coding tools — and what's missing?
1
Filters — Who Can Answer?
👛Wallet Connected
🐙GitHub commits >100 (last year)
🤖Holds any AI-related token (FET, RNDR, TAO, etc.)
🔗Answered "Use AI daily for coding = Yes"
2
The Question
"What is the biggest gap in current AI dev tooling?"
Codebase-aware context (full repo)
Reliable multi-file editing
CI/CD & deployment integration
Team collaboration on AI prompts
Type: Public (Atomic)
3
Liquidity Pool
500 ⚡
Base Cost
+2,500 ⚡
Filters
150,000 ⚡
Budget
20 ⚡
Per Response
📊 Maximum 7,350 Responses
4
Extensions
🔗 Threading
Chain from usage verification
Use AI daily?→Yes→Biggest gap?
🍴 Forking
Tool-specific deep dives
"...in Cursor / Windsurf?"
"...in Claude Code / Copilot?"
"...for open-source AI tools?"
💰 Funding
AI tool companies co-fund
+45,000 ⚡ Anthropic community
+35,000 ⚡ OpenAI devs guild
= 11,100 responses
5
Responses
8,916
verified developer responses
Codebase-aware context
36% (3,210)
Reliable multi-file editing
29% (2,586)
CI/CD integration
21% (1,872)
Team prompt collaboration
14% (1,248)
6
Statistics by Access Level
🌍 Public
Free for everyone
- 📊 Pie chart
- 📈 Total count
- 🐦 Share card
🔑 Backer
500+ ⚡ contribution
- 📋 By tool used
- 💎 By commit frequency
- ⏱️ Timeline
- 📥 CSV export
👑 Owner
Creator only
- 🗃️ Developer profiles
- 🔌 API access
- 🔗 Inheritance rights
7
Cross-Analysis
Cross-analysis with on-chain data →
48%
of high-commit devs (>500/yr) want full-repo context
vs 33% of occasional devs who struggle most with multi-file edits
GitHub activity verification shows power users hit context limits, casual users hit reliability issues
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