Documentation That Drives Developer Adoption

Amnic partnered with Infrasity to design a developer-focused documentation system for its AI-driven observability platform. Across four weeks, we built detailed integration pages, quick-start guides, and troubleshooting docs — each reinforced with GIFs, SDK snippets, and real use cases. The result is a GitBook documentation hub that not only explains Amnic's product capabilities but also showcases its engineering depth to enterprise teams.

DevZero partnered with Infrasity to create documentation that accelerates developer onboarding for its secure cloud development environments. We built SDK and CLI references, environment setup flows, and troubleshooting guides focused on how engineers spin up, connect, and scale their sandboxes. Each doc combines code samples, animated sequences, and short deployment walkthroughs — helping DevZero users move from first command to first build in minutes. The documentation now doubles as both a product guide and a GTM asset, showcasing DevZero's engineering strength to teams adopting remote dev environments.

Kubiya's team worked with Infrasity to turn their AI agent platform into documentation engineers actually use. We built a clear hierarchy for SDKs, APIs, and workflows — showing how Kubiya connects prompts to real infrastructure actions. Each guide includes runnable examples, CLI outputs, and embedded GIFs illustrating how agents execute tasks like provisioning environments or managing secrets. The documentation became a live extension of Kubiya's product — helping engineers understand, trust, and adopt AI-driven DevOps automation faster.

StackGen's documentation is designed to make complex, AI-driven infrastructure automation accessible to engineers. Infrasity structured the content around real-world workflows — from stack generation to IaC validation — ensuring every guide balances conceptual clarity with command-level depth. Each section integrates CLI examples, architecture diagrams, and agent-execution visuals to help developers understand how AI interacts with Terraform and cloud APIs. The resulting docs act as a complete narrative of how StackGen translates infrastructure intent into working code — written for those who build, not just read.