Cody by Sourcegraph vs Continue
Detailed side-by-side comparison to help you choose the right tool
Cody by Sourcegraph
🔴DeveloperAI Development Assistants
AI coding assistant powered by Sourcegraph's code intelligence platform, providing full codebase context awareness across repositories for chat, code completion, and agentic coding workflows.
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Starting Price
FreeContinue
🔴DeveloperAI Coding
Open-source AI coding extension for VS Code and JetBrains — bring any model, configure custom rules, share assistants across your team.
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CustomFeature Comparison
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Cody by Sourcegraph - Pros & Cons
Pros
- ✓Deep codebase context via Sourcegraph's Code Search API, pulling relevant symbols and usage patterns across entire codebases for more accurate suggestions
- ✓Multi-LLM support lets users choose between Claude, GPT-4o, Gemini and other models, and enterprise customers can bring their own keys
- ✓Wide IDE coverage including VS Code, JetBrains, Visual Studio (experimental), a web interface in the Sourcegraph platform, and CLI access
- ✓Strong fit for large monorepos and polyrepo enterprise environments where cross-repository context is critical for accurate AI assistance
- ✓Customizable prompts and commands let teams encode standardized workflows (test generation, code review checklists, documentation) as reusable templates
- ✓Enterprise-grade governance with SSO, audit logs, repo permission-aware context, and guardrails for compliance-sensitive industries
Cons
- ✗Full enterprise context features require deploying and configuring Sourcegraph's code intelligence platform, which adds operational overhead
- ✗Free tier usage limits are more restrictive than some competitors like GitHub Copilot's free offering
- ✗Maximum value requires proper codebase indexing setup — context quality scales with indexing completeness
- ✗Smaller extension marketplace compared to GitHub Copilot's broader third-party integration ecosystem
- ✗Amp (the agentic evolution) is a separate product requiring additional onboarding and different workflows from the core Cody experience
- ✗Enterprise deployment complexity can be significant for smaller teams without dedicated DevOps resources
- ✗Learning curve to leverage advanced features like custom prompts, context filters, and @-mentions effectively
Continue - Pros & Cons
Pros
- ✓Open-source under Apache 2.0 — no vendor lock-in or proprietary protocols
- ✓Genuinely supports JetBrains as a first-class citizen, not an afterthought
- ✓YAML config and Continue Hub make team-wide standardization trivial
- ✓Transparent pricing: $3/M tokens Starter, $20/seat/month Team — no hidden seat costs
- ✓Mix local and hosted models in one extension — cheap autocomplete, expensive chat
- ✓Strong on-prem story for regulated enterprises (BYOK, internal proxies, no telemetry)
Cons
- ✗Less polished UX than closed-source competitors like Cursor or GitHub Copilot
- ✗Agent mode is younger than Cline's and has fewer guardrails
- ✗Hub assistants quality varies — vetting community configs takes effort
- ✗$3/M tokens Starter is competitive but not the cheapest if you BYO API keys directly
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