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

Code Fixing & Editing

Stream Real-Time Code Edits at Scale

Fix bugs and refactor code with structured, low-latency AI edits fine-tuned to your codebase. Scale confidently with syntax-aware transformations and high-concurrency infrastructure.

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Problem

Generic Tools Break Flow and Don’t Scale

Most AI code tools aren’t built for high-speed editing, safe refactoring, or large-scale deployment. They interrupt flow, miss recurring bugs and coding standards, and fail to earn developer trust.

Uncustomized Fixes Miss the Mark

Even strong models struggle with your code patterns, style guides, and stack without tuning.

Misaligned Suggestions = Rework

Without alignment to team norms, suggestions require extra review, rewriting, or rollback. They often cost more time than they save.

Not Scalable

Existing tools can’t support real-time usage across large engineering orgs.

Solution

Everything You Need to Power Fast, Accurate Code Edits

Build intelligent assistants that edit safely, stream in real time, and scale reliably.

Structured Inline Edits

Apply safe, syntax-aware transformations for bug fixes and refactors.

Low-Latency, Context-Aware Completions

Stream precise suggestions tuned to your stack: your language, framework, and in-context code.

Real-Time Feedback

Deliver multi-line edits as developers type with no waiting and no context switching.

Fine-tuning on your codebase

Train models on your repos, review patterns, and style guides.

Scalable Inference

Serve high volumes with autoscaling, batching, and cost control.

Structured Outputs

Enforce schema or grammar constraints for predictable, tool-ready edits.

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:

Qwen

Qwen2.5-32B-Coder (Medium)

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Qwen

Qwen3 14B (Small)

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Qwen

Qwen3 8B (Small)

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Performance & Impact

Cut Latency 30% with real-time, streaming suggestions that reduce triage and time-to-fix.

Standardize Code Quality using syntax-safe, organization-aligned edits.

Maximize Developer Productivity with low-latency fixes that reduce context switching.

Scale with confidence on sub-100ms, high-concurrency infrastructure.

Code Fixing & Editing
Customer Testimonial

Sourcegraph Cuts Latency 30% and Boosts Fix Acceptance Rates 2.5X

Leveraging Fireworks’ fast, context-aware autocomplete and inline fixes, Sourcegraph accelerates bug resolution and improves code quality at scale.

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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

  • Fix bugs faster with inline, context-aware suggestions
  • Get accurate autocompletions informed by real code context
  • Edit mid-stream without breaking flow or syntax
  • Structured outputs enable safer, predictable code edits

Platform and AI infra teams

  • Deliver low-latency, scalable inference across high concurrency workloads
  • Ensure secure, compliant AI workflows for enterprise standards
  • Optimize model performance and cost efficiency with FireOptimizer
  • Provide scalable infrastructure with GPU autoscaling and cost controls

Innovation and Business Strategy Leaders

  • Cut cycle time with structured, streaming AI edits
  • Scale dev productivity without growing headcount
  • Unlock real-time, syntax-safe autocomplete and fixes
  • Stay in control: fine-tune, deploy privately, avoid lock-in