OpenAI gpt-oss-120b & 20b, open weight models designed for reasoning, agentic tasks, and versatile developer use cases is now available! Try Now

Code Generation

Real-Time Code Generation at Scale

Stream fast, context-aware completions from fine-tuned models, served at sub-100ms latency and built to scale.

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Problem

Generic code assistants waste time and trust

They miss context, interrupt flow, and can't scale. The result: bad suggestions, growing tech debt, and frustrated teams.

No understanding of your code base

Generic models don’t know your stack, style, or structure, leading to irrelevant or risky suggestions.

Breaks flow, erodes trust

Slow, shallow completions disrupt flow, cause costly errors, and drain developer confidence.

Can’t scale with your team

Most solutions buckle under real-time, high-concurrency demand and block customization, locking teams into rigid tools.

Solution

Everything you need to build real-time, trustworthy Code AI.

From real-time infill to scalable inference, Fireworks gives you the building blocks to ship performant, customizable assistants with confidence.

Deep Context Understanding

Fine-tune models on your codebase for domain-specific syntax, style, and architectural patterns.

Syntax-Aware Infill & Editing

Infill anywhere in a function or file with token-efficient generation built for code structure.

Speculative Decoding for Speed

Use parallel decoding to reduce latency and boost responsiveness for large prompts.

Scalable Inference Infrastructure

Serve millions of concurrent completions with GPU autoscaling and observability built in.

Model Fine-Tuning

Fine-tune and serve advanced models for high-accuracy suggestions.

Flexible Deployment Options

Deploy in cloud, on-prem, or hybrid with full control over weights, GPUs, and latency.

Model Library

Recommended Models

Fireworks supports top open models on day one with early access, real-world testing, and infrastructure built for production use. For this use case, we recommend:

DeepSeek

DeepSeek R1 0528 (Large)

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DeepSeek

DeepSeek V3 03-24 (Large)

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Qwen

Qwen2.5-Coder 32B Instruct (Medium)

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Performance & Impact

Increase developer productivity with completions tailored to your code and style.

Improve code quality by fine-tuning models on your codebase for idiomatic and safe output.

Scale to millions of concurrent requests with sub-100ms latency using Fireworks’ inference platform.

Maintain full control over data and models to meet enterprise security and compliance requirements.

Code Generation & Reasoning
Customer Testimonial

Cursor achieves 3X cost savings and 2X faster completions on Fireworks

By running on Fireworks, Cursor delivers real-time streaming and handles high concurrency efficiently, significantly reducing costs while improving developer experience.

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Who It’s For

Built for Developers, Infra Teams, and Innovation Leaders

From building smart code assistants to scaling inference and reducing time-to-market, Fireworks helps every team ship faster with full control:

Developers and Product teams

  • Intelligent code suggestions tailored to your stack
  • Context-aware completions, infills, and refactors
  • Real-time iteration for faster development

Platform and AI infra teams

  • Reliable, scalable inference infra with sub-100ms latency
  • FireOptimizer fine-tuning for domain accuracy
  • Faster time-to-market by eliminating infra bottlenecks

Innovation and Business Strategy Leaders

  • Full AI stack control: fine-tune, deploy, and own your models
  • Real-time streaming and editing to accelerate innovation
  • 3X cost savings, 2X throughput gains