Sourcegraph Cody vs Augment Code
Detailed side-by-side comparison to help you choose the right tool
Sourcegraph Cody
🔴DeveloperDeveloper Tools
Sourcegraph Cody is an enterprise AI coding assistant that uses Sourcegraph code context to help developers search, understand, write, and fix code.
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Starting Price
CustomAugment Code
🔴DeveloperDeveloper Tools
Augment Code is an AI coding assistant and agentic development platform built for large-codebase context, engineering workflows, and teams.
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CustomFeature Comparison
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Sourcegraph Cody - Pros & Cons
Pros
- ✓Codebase-wide context is useful for large repositories, monorepos, and cross-service discovery
- ✓Supports multiple developer surfaces: VS Code, JetBrains, Visual Studio, web app, and CLI
- ✓Enterprise plan includes Sourcegraph platform capabilities such as Full MCP Server, API, CLI, security/admin controls, and 24x5 support
- ✓Strong fit for onboarding, code explanation, test generation, and finding existing implementation patterns
Cons
- ✗Enterprise starting price of $16K can be too high for solo developers and small teams
- ✗Final cost depends on seats, AI feature credits, deployment model, and support terms that must be confirmed with sales
- ✗Quality depends on Sourcegraph indexing, repository permissions, codebase hygiene, and human code review
- ✗Teams that only need lightweight autocomplete may find Cody more platform-heavy than necessary
Augment Code - Pros & Cons
Pros
- ✓Pricing is specific: Indie $20/month, Standard $60/developer/month, Max $200/developer/month, Enterprise custom
- ✓Vendor claims operational metrics such as 4x ship-cycle improvement, 70%+ pages resolved early, and 30% fewer engineering hours
- ✓Designed for organizations and large codebases, not only solo autocomplete use
Cons
- ✗Credit allowances require operational tracking, especially for teams running agents heavily
- ✗The strongest organizational features are likely most valuable on higher tiers or Enterprise
- ✗Teams with small repos may not need its large-context and cross-agent coordination layer
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