
FetchSandbox
API integration testing that remembers what breaks
95 followers
API integration testing that remembers what breaks
95 followers
Products used by FetchSandbox
Explore the tech stack and tools that power FetchSandbox. See what products FetchSandbox uses for development, design, marketing, analytics, and more.
Engineering & Development 2

I am a solo founder, and Cloudflare is the piece of infra I never have to think about — which is the highest compliment I can give infra. It sits in front of everything at FetchSandbox: TLS, caching the docs for 60+ APIs so they load fast worldwide, and shielding a sandbox API that spins up real containers on demand from abuse. Setup was minutes, not a sprint, and it's been invisible-in-the-good-way ever since. For a one-person team, that reliability is worth more than any single feature.

FetchSandbox runs entirely on AWS. Every sandbox, every spec's engine, and every reproduce→prove run — where we spin up two containers to prove a bug is real, then tear them down seconds later — happens here. As a solo founder I started on Lightsail for dead-simple, predictable hosting, and the best part is knowing the rest of AWS is right there when I need to scale, without a migration. It's the boring-in-the-best-way foundation: reliable enough that I think about my product, not my servers.
LLMs 2

I run GPT alongside Claude in FetchSandbox's generation pipeline — parsing OpenAPI specs, discovering realistic workflows, sanity-checking output across 60+ APIs. Where GPT earns its place is breadth and reliability: it's seen every API convention under the sun, and its structured output (function calling / JSON mode) parses cleanly every time — which matters when you're generating at volume and can't babysit each result. It's the dependable workhorse: fast, consistent, and it just works. For a solo founder shipping a lot, that consistency is gold.

I'm a solo founder, and Claude is on both sides of my company. I build with Claude Code — it's written a real share of FetchSandbox, from the sandbox engine to the deploy scripts — and Claude runs inside the product: it distills real API failures into runnable bug patterns, writes the docs for 60+ API specs, and powers the loop that reproduces a bug and reasons about the fix.
What stands out after months of daily use is that the reasoning holds up on hard, multi-step problems where other models hand-wave. Opus for the deep work, Haiku for the fast paths. And because it speaks MCP, my users' agents call my tools through Claude directly — no glue code. As a one-person team, it's the closest thing I have to a second engineer.