Maximize API Testing Efficiency with APIForgeKit's Smart LabMaximize API Testing Efficiency with APIForgeKit's Smart Lab
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I’m building APIForgeKit, a local lab for testing APIs and deterministic algorithms before asking AI to implement anything.https://github.com/maxishida/APIForgeKit
The flow is simple:
Real test

Structured logs

Dashboard

Technical context

AI implementation
Instead of sending scattered docs, screenshots, errors, and guesses to Codex, Claude, or Gemini, APIForgeKit turns real behavior into organized evidence.
It helps validate:
external APIs
webhooks
deterministic algorithms
token cost
latency and logs
real payloads
responses and errors
The key difference is ACP + SKILL.md.
That means an agent can follow a protocol:
run the right test
save evidence
generate context
only then suggest implementation
A normal API tester shows a response.
APIForgeKit turns that response into reusable context for AI.
Less guessing. Less rework. Fewer tokens. More evidence before coding.
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The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started