Every iOS app I've shipped over the last nine years started the same way: a Rails developer with a great web app, users who want it in the App Store, and weeks spent on Xcode, signing certificates, and Swift boilerplate that has nothing to do with the actual product.
Tracy is compatible with Kotlin from version 2.0.0 and Java from version 17. Integrations can be made with SDKs from OpenAI, Anthropic, and Gemini. The library also works with common Kotlin/LLM stacks including OkHttp and Ktor clients, as well as OpenAI, Anthropic, and Gemini ones.
The software industry is collectively hallucinating a familiar fantasy. We visited versions of it in the 2000s with offshoring and again in the 2010s with microservices. Each time, the dream was identical: a silver bullet for developer productivity, a lever managers can pull to make delivery faster, cheaper, and better. Today, that lever is generative AI, and the pitch is seductively simple: If shipping is bottlenecked by writing code, and large language models can write code instantly, then using an LLM means velocity should explode.
Air, now free for MacOS with Linux and Windows versions coming soon, is an agentic development environment, or ADE, built on the idea of integrating the essential tools for managing coding agents into a single coherent experience. Serving as a single workspace where Claude Agent, Gemini CLI, Codex, and Junie CLI can work side-by-side, Air helps developers navigate a codebase and easily switch back and forth between different coding agents.