Relace

What is Relace?

Relace is a developer infrastructure platform designed specifically for autonomous code generation and agent-based development. Built around specialized small language models (SLMs) trained in-house, Relace provides a complete toolkit for teams building coding agents and automated development systems. The platform combines purpose-built source control, semantic code retrieval capabilities, and high-speed code merging to enable reliable autonomous codegen at scale. Rather than relying on general-purpose frontier models, Relace's specialized models deliver superior performance on core coding tasks while maintaining enterprise-grade reliability and security standards.

Key Features

• Agent-Ready Source Control

  Lightweight push/pull operations with no rate limits, fast branching for spawning subagents, and automatic indexing designed for high-throughput agent workflows.

• Semantic Code Retrieval

  Two-stage retrieval system with 78.29% recall@k, enabling context-aware searches across large codebases in under 2 seconds using embed/rerank models.

• High-Speed Code Merging

  Universal code application model processing 10,000 tokens per second to reliably integrate AI-generated edits into existing code with minimal conflicts.

• Specialized Model Stack

  Purpose-built models for code retrieval, merging, and generation tasks that outperform general-purpose frontier LLMs on autonomous codegen subtasks.

• Production-Grade Reliability

  Optimized inference stack with sub-second latencies, SOC 2 compliance, and deployment options including on-premise and VPC-isolated environments for maximum control.

• Developer-Friendly Integration

  Drop-in API compatible with CI/CD pipelines, code review tools, and existing development workflows with minimal setup overhead.

Use Cases

• Autonomous Code Generation : Enable coding agents to autonomously generate, retrieve, and merge code changes with reliability and speed suitable for production environments.
• Accelerated Code Review : Integrate Relace models into code review pipelines to quickly retrieve relevant context and apply suggested edits with high precision.
• CI/CD Automation : Embed specialized code models into continuous integration pipelines for automated fixes, code generation, and intelligent code merging.
• Large Codebase Management : Organizations managing large codebases can leverage fast semantic retrieval to accelerate agent-based development tasks and reduce context retrieval latency.
• Custom Model Fine-tuning : Teams can build custom coding agents by fine-tuning Relace models on their own data and deployment infrastructure for proprietary workflows.

FAQs