Relace - AI Code Editing

AI models & infrastructure built for coding agents

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Updated Jul 2026 · Added Jun 2026

relace.ai

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What is Relace?

Relace provides AI models and infrastructure purpose-built for coding agents. It offers specialized small language models (SLMs) for code retrieval, merging, and generation that outperform general-purpose LLMs while running faster. The platform includes source control designed for agents with lightweight operations, semantic search across large codebases, and universal code merging at 10,000 tokens/second. Built for engineering teams looking to automate code generation, reduce errors, and accelerate development workflows.

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Key Features of Relace

Specialized SLMs for code retrieval and merging
Semantic search across large codebases in <2 seconds
Universal code merging at 10,000 tokens/second
Source control designed for agents with no rate limits
Lightweight push/pull operations from sandboxes
Fast branching for spawning subagents
Automatic indexing for two-stage retrieval
SOC 2 compliant enterprise security
Self-hosted and VPC-isolated deployment options
On-premise deployment available

Who Should Use Relace?

Automate code generation and file edits for CI/CD pipelines

Accelerate PR reviews with fast code retrieval and merging

Build custom, fine-tuned AI models for design-focused workflows

Run task-specific coding agents on any repository

Implement autonomous codegen with high reliability

Relace: Pros & Cons

✓Pros

Faster than frontier LLMs on code-specific tasks
Highly reliable code merging with minimal bugs
Enterprise-grade security with SOC 2 compliance
Flexible deployment: hosted, self-hosted, or VPC-isolated
Minutes to onboarding with free tier and playground
No rate limits on agent operations
Custom model fine-tuning on your own data

Frequently Asked Questions about Relace

How fast is Relace's code merging compared to general LLMs?

Relace merges code at 10,000 tokens per second using its specialized small language models, which is designed to outperform general-purpose LLMs on code-specific tasks. The platform can execute semantic search across large codebases in under 2 seconds, making it practical for high-throughput agent workflows that need to run many operations without bottlenecks.

Can I run Relace on my own infrastructure?

Yes. Relace supports self-hosted deployments, VPC-isolated instances, and on-premise installation in addition to its hosted option. Enterprise customers can request pricing for self-hosted or isolated setups, and the platform includes no rate limits on agent operations regardless of deployment method.

Does Relace let me fine-tune models on my own codebase?

Relace supports custom model fine-tuning on your own data as a feature of its specialized small language models. This allows you to build design-focused or task-specific models for your repository rather than relying on general-purpose alternatives.

What happens with semantic search when a codebase is very large?

Relace uses automatic indexing and two-stage retrieval to keep semantic search fast; it completes searches across large codebases in under 2 seconds. The platform is built to handle high-volume agent operations on repositories of significant size without degrading performance.