DeepSeek R1 0528, an updated version of the state-of-the-art DeepSeek R1 model, is now available. Try it now!

AI That Writes Code with Context and Logic

Generate reliable, production-ready code—speed up development without losing precision.

Code Generation & Reasoning

Why Enterprises Need Smarter Code AI Now

Enterprises are under pressure to ship faster than ever—47% of organizations are prioritizing development speed (McKinsey). Yet 70% of developers struggle to scale AI tools effectively, facing fragmented workflows, laggy tools, and rising costs. Traditional models weren’t built for real-time, code-native environments. As a result:

  • Developers lose momentum without intelligent, in-flow assistance
  • Tooling breaks down at scale across teams and geographies
  • Legacy inference infrastructure creates bottlenecks and cost overruns
  • Static models can’t reason dynamically across large, evolving codebases

To compete, enterprises need a platform engineered for code generation and reasoning at scale—purpose-built for speed, precision, and developer momentum.



How Code Generation at Scale Should Work

Built to support full stack developer workflows across generation, reasoning, and structured execution in real-time:

User-Facing Capabilities

  • Code Assistant: Context-aware LLMs for smart suggestions, docstrings, and logic completion
  • Infilling & Rewrites: Refactor or insert mid-stream code with structured, syntax-safe output

Platform Capabilities

  • Speculative Execution: Parallel decoding improves responsiveness for large inputs
  • FireOptimizer: Serve fine-tuned open models like StarCoder2 for improved domain-specific performance
  • Scalable Inference: Stream millions of requests with GPU orchestration and autoscaling

How Fireworks AI delivers value across teams

Fireworks AI supports the entire lifecycle of AI-native tools, from designing product experiences to scaling inference across millions of requests:

For Developers and Product teams

  • Faster development with in-flow, intelligent code suggestions
  • Higher code quality from deep, context-aware generation
  • Quicker iteration via real-time infilling and refactoring


For Platform and AI infra teams

  • Reliable performance with scalable, low-latency inference infrastructure
  • Flexible fine-tuning with FireOptimizer for domain-specific accuracy
  • Faster time-to-market by eliminating infrastructure bottlenecks

Who We Support



AI-Native PlatformsEngineering AutomationIndustry Applications
: Teams like Cursor use R1 for real-time, multi-line code completions, improving code assistant responsiveness and accelerating developer productivity.Platforms like Codeium rely on V3 to enhance latency, context handling, and scale across engineering teams, improving efficiency and cost-effectiveness.From automating code refactoring in e-commerce to optimizing algorithms in finance, Fireworks AI enhances software development workflows across industries by enabling smarter, faster code generation and reasoning at scale.
Fireworks Performance Optimization

Why Fireworks

Fireworks AI is not just an inference provider; it’s a complete platform designed to empower developers in building and scaling AI-native tools. With high-performance, low-latency inference at its core, Fireworks enables everything from real-time code assistance to custom AI experiences—supporting the full lifecycle of developer productivity.

  • Optimized open models (StarCoder2, Code LLaMA, CodeGemma)
  • Lightning-fast inference with real-world benchmarks
  • FireOptimizer for domain-specific fine-tuning
  • Streaming, structured output for real-time UX
  • Enterprise-ready infra with autoscaling and cost controls

Build AI tools developers actually want to use.

Ship faster. Lower cost. Smarter code. Start building with Fireworks—the AI platform purpose-built for speed, precision, and developer momentum, with enterprise-grade infrastructure to support global teams, high-concurrency workloads, and scalable AI-native tools.