The fastest growing developer tools aren't being built by developers anymore.
The Summary
- Two engineers used Codex to ship Stack Overflow for Agents in weeks, saw 3x signup growth via ChatGPT plugin integration
- The ChatGPT plugin drove up to 10x growth in agent creation on the platform
- Developer tooling is entering its platform-native era: tools that live inside AI interfaces outperform standalone products
The Signal
Stack Overflow for Agents is a Q&A platform for debugging autonomous AI agents. Think Stack Overflow, but for when your sales agent hallucinates pricing or your data scraper can't parse a table. Two engineers built the MVP in weeks using Codex. The ChatGPT plugin launched shortly after. Signups tripled. Agent creation spiked 10x.
The growth mechanism is dead simple: developers were already in ChatGPT building agents. Now the help desk lives in the same window. No context switching, no new tab, no separate login. The plugin surfaces relevant debugging threads inline while you're prompting. You hit a wall, you get an answer, you keep building.
"The ChatGPT plugin drove up to 10× growth in agent creation on the platform."
This is the distribution model for Web4 tools:
- Build where builders already are (inside ChatGPT, Claude, Cursor)
- Solve the problem at the moment of friction, not after
- Let the host platform handle discovery, auth, and trust
The two-engineer team using Codex to ship this fast isn't a footnote. It's the whole story. Developer tools are now being built by AI-assisted developers, distributed through AI platforms, and used to build more AI. The feedback loop is tight and accelerating.
Traditional SaaS companies spend months on onboarding flows, SEO, and landing pages. Platform-native tools skip all that. If you're useful and plugged into ChatGPT or the Anthropic ecosystem, users find you by accident while doing the work. Discovery is a byproduct of utility.
The Implication
If you're building tools for agent developers, your landing page doesn't matter. Your plugin does. The old playbook was: build a great product, then figure out distribution. The new playbook: build inside the distribution channel. ChatGPT has 200+ million weekly users. Some percentage are building agents. Meet them there.
Watch for the second-order effect: as agent creation gets easier and faster, the bottleneck shifts to debugging and maintenance. Whoever owns the infrastructure for "my agent broke" wins the next layer of the stack. Stack Overflow for Agents is early, but they're staking a claim on the right problem.