stagewise

What is stagewise?

stagewise is the agentic IDE designed for open-source models, empowering developers to create and orchestrate powerful AI coding agents with unprecedented flexibility. It works seamlessly with all major model providers, including frontier models like Claude, GPT, and Gemini, open-weight models such as DeepSeek, Qwen, and GLM, and locally deployed models via Ollama, vLLM, or Llama.cpp. This eliminates vendor lock-in, allowing you to choose the best model for each task.

Key features include a highly efficient agent that maximizes cache-hit rates and dynamically controls context, achieving an average cache hit rate of 87.6%. This enables long-running, complex tasks at surprisingly low cost. stagewise serves as a command center for running multiple agents in parallel, each independently implementing full features or fixing bugs, dramatically accelerating development workflows.

Benefits include cost efficiency through intelligent caching, flexibility to use any model from any source, and the ability to run on your own infrastructure for full control. Use cases range from automated code generation and bug fixing to large-scale refactoring and testing. Technical details: stagewise supports any inference provider that serves models via OpenAI Chat Completions API, OpenResponses API, or Anthropic Messages API, with a minimum recommended context size of 150k tokens. You can use stagewise Cloud Inference preconfigured with many models, or bring your own API keys and endpoints. It is backed by a focus on accessibility and simplicity, making AI coding agents practical for teams of all sizes.

Use Cases

Key Features

agentic IDE open source model support multi model orchestration high cache hit rate dynamic context control parallel agent execution cost efficient caching vendor lock in elimination local model deployment full infrastructure control

Who is it for?

AI developers, software engineers, DevOps teams, open, source enthusiasts, code generation specialists, bug fixing teams, refactoring experts

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