Continue.dev
4.8Freemium335
Editorial matchup · June 2026
Continue.dev vs Sourcegraph: Which AI Tool Is Better in 2026?
Side-by-side comparison of Continue.dev and Sourcegraph — pricing, features, and use cases. Reviewed by our editorial team in Jun 2026.
Use-case score 1–3Updated Jun 2026
Developer Tools
Sourcegraph
4.9Paid450
Continue.dev is an open-source AI coding assistant supporting VS Code and JetBrains IDEs that gives developers the freedom to choose any LLM model, whether cloud-based or local.
Sourcegraph Cody was once renowned for multi-repository code understanding across 10+ repositories, but starting in July 2025, Sourcegraph terminated free and pro plans to pivot into pure enterprise tool.
The split reflects a fundamental market divergence: Continue.dev targets developers and teams prioritizing control, cost, and privacy through open-source architecture, while Cody Enterprise pursues high-touch, compliance-heavy enterprise deployments.
Cody excels at helping developers navigate complex, enterprise-scale codebases spanning multiple repositories and services by leveraging Sourcegraph's Code Intelligence Platform.
Continue offers open-source flexibility with true air-gapped deployment but lacks compliance certifications and exhibits reliability issues at scale, while Cody delivers SOC 2 Type II compliance but struggles with per-query repository context limits.
Continue.dev is the most recommended open-source AI code assistant in 2026 especially for developers valuing privacy, with 100+ model support and powerful Context Providers making it no less functional than paid competitors like Cursor or GitHub Copilot.
For teams requiring enterprise-grade security attestations and turnkey infrastructure, Cody wins. For developers and mature engineering teams seeking sovereignty, configurability, and no vendor lock-in, Continue.dev is the clear choice.
Cost-conscious and privacy-first teams
Continue.dev
Continue.dev is completely free and open-source under Apache 2.0; you bring your own model—either local (free) or via API keys (pay per usage to the provider).
Enterprise-scale multi-repository code intelligence
Sourcegraph
Cody's multi-repo understanding simultaneously retrieves from 10 repos, the only tool capable of overall analysis for large microservice systems.
Model flexibility and local-only deployment
Continue.dev
Continue.dev's model routing is explicit rather than learned; you assign roles in config and the IDE dispatches accordingly, meaning the routing decision is reviewable, version-controlled, and identical across every developer machine.
Section 01
Best for what
5 use cases scored. Continue.dev wins 1, Sourcegraph wins 3.
- EvenPricing value
Neither tool publishes a starting price.
- Continue.devFree tier
Continue.dev offers a free tier; Sourcegraph is paid only.
- SourcegraphUser ratings
Sourcegraph averages 4.9 / 5 vs 4.8 / 5 on the other side.
- SourcegraphReview volume
Sourcegraph has 207 ratings vs 157 on the other.
- SourcegraphEditorial standing
Sourcegraph ranks in our Rising tier; Continue.dev sits in the unranked tier.
Section 02
Pros & cons
Where each tool earns its rating — and where it falls short.
Continue.dev
Developer ToolsPros
- Supports any LLM model—from OpenAI GPT-4o and Anthropic Claude 3.5 to local models like Ollama and LM Studio.
- Completely free and open-source under Apache 2.0 with no subscription required.
- Model routing is version-controlled and reviewable across every developer machine, not a hidden router service.
- Agent Mode can automatically plan and execute multi-step tasks—simply describe your goal and the agent analyzes the codebase, creates a plan, and executes modifications.
- Runs AI checks on every pull request as GitHub status checks with source-controlled markdown-based rules.
- Context providers like @codebase, @file, @docs, @terminal, and @git inject relevant project context into prompts, reducing hallucinated references.
Cons
- GitHub issues document a critical scalability problem where indexing either takes excessive time or never completes on larger repositories due to the architectural approach of building a complete file list before processing.
- Tab completion speed depends on the model chosen; using local models on high-end GPUs can achieve near-instant completion, but cloud API models usually have 0.5-1.5 second delay, slightly behind GitHub Copilot's cloud infrastructure.
- Continue's flexibility comes at the cost of configuration complexity compared to Cody's more polished enterprise IDE integration.
- Continue serves well for minor in-context tasks within the IDE while more complex and detailed coding requirements are better suited to terminal-based tools.
- Requires manual configuration of models and context providers; no out-of-the-box setup for non-technical teams.
- Lacks compliance certifications needed for regulated industries.
Continue.dev
Developer ToolsPros
- Supports any LLM model—from OpenAI GPT-4o and Anthropic Claude 3.5 to local models like Ollama and LM Studio.
- Completely free and open-source under Apache 2.0 with no subscription required.
- Model routing is version-controlled and reviewable across every developer machine, not a hidden router service.
- Agent Mode can automatically plan and execute multi-step tasks—simply describe your goal and the agent analyzes the codebase, creates a plan, and executes modifications.
- Runs AI checks on every pull request as GitHub status checks with source-controlled markdown-based rules.
- Context providers like @codebase, @file, @docs, @terminal, and @git inject relevant project context into prompts, reducing hallucinated references.
Cons
- GitHub issues document a critical scalability problem where indexing either takes excessive time or never completes on larger repositories due to the architectural approach of building a complete file list before processing.
- Tab completion speed depends on the model chosen; using local models on high-end GPUs can achieve near-instant completion, but cloud API models usually have 0.5-1.5 second delay, slightly behind GitHub Copilot's cloud infrastructure.
- Continue's flexibility comes at the cost of configuration complexity compared to Cody's more polished enterprise IDE integration.
- Continue serves well for minor in-context tasks within the IDE while more complex and detailed coding requirements are better suited to terminal-based tools.
- Requires manual configuration of models and context providers; no out-of-the-box setup for non-technical teams.
- Lacks compliance certifications needed for regulated industries.
Sourcegraph
Developer ToolsPros
- Unrivaled multi-repo understanding simultaneously retrieves from 10 repos, the only tool capable of overall analysis for large microservice systems.
- Uses embeddings and the Sourcegraph search engine to fetch relevant snippets from across multiple repositories before sending a prompt to the LLM.
- Available on VS Code, JetBrains, Visual Studio, and the Web app.
- Delivers SOC 2 Type II and ISO 27001 compliance certifications for regulated industries.
- Multi-LLM support allowing users to toggle between Claude 5 Opus, OpenAI GPT-5 Turbo, and Google Gemini Ultra 2.0.
- Context-aware chat answers grounded in actual code—queries like 'Where is authentication handled?' return real file paths and code references, not generic explanations.
Cons
- Sourcegraph discontinued all free and pro plans as of July 2025, now enterprise-only with enterprise tier pricing.
- Although Cody indexes all connected repositories, the chat UI's @-mention feature allows selecting only up to 10 repositories per query, limiting cross-service understanding for organizations with dozens of microservices.
- For free and pro tiers, code context is sent to Sourcegraph's servers and the chosen LLM provider, though enterprise customers can deploy on-premise for full data control.
- Enterprise-only pricing limits accessibility to small teams and individual developers.
- Rated below Cursor in complex code understanding exercises.
- Requires Sourcegraph instance setup for full multi-repo capabilities; cannot function as a lightweight IDE extension alone.
Section 03
At a glance
Every spec on one page. Live-pulled from each tool's detail page.
- PricingFree + paid tiersInquire
- Pricing modelFreemiumPaid
- Free tierYesNo
- Free trialNoNo
- Rating4.8 / 5 (157 ratings)4.9 / 5 (207 ratings)
- Saves335450
- CategoriesDeveloper Tools, AI InfrastructureDeveloper Tools
- VerifiedNoYes
- Top 100 tier—Rising
- Last updatedJun 2026Jun 2026
Frequently asked
Continue.dev vs Sourcegraph FAQs
Quick answers to the questions readers ask before picking between these two.
Can I use Continue.dev with local models completely offline?
Yes, Continue.dev has first-class Ollama integration for both chat and autocomplete—you can configure any Ollama model in your config.json and get fully private, free AI coding assistance. Code never leaves the machine, there is no subscription, and the setup works offline on any device.
Does Sourcegraph Cody offer a free plan in 2026?
No. Starting June 25, 2025, Sourcegraph stopped accepting new applications for free and pro plans; by July 23, all existing accounts were terminated, pivoting to enterprise-only tier.
Which tool is better for understanding code across multiple repositories?
Sourcegraph Cody wins decisively for multi-repository understanding. Cody excels at helping developers navigate complex, enterprise-scale codebases spanning multiple repositories and services by leveraging Sourcegraph's Code Intelligence Platform to understand relationships across your entire codebase. Cody can simultaneously retrieve from 10 repos, the only tool capable of overall analysis for large microservice systems.
Does Continue.dev require programming to set up?
Continue.dev requires editing JSON or YAML configuration files, but not programming. The Continue configuration surface is a single file—~/.continue/config.yaml globally, or a per-repo override in .continue/config.yaml. You can define multiple models and switch between them instantly from the Continue sidebar.
Which tool has better IDE support?
Sourcegraph Cody is available on VS Code, JetBrains, Visual Studio, and the Web app. Continue.dev is supported by VS Code and JetBrains IDEs. Cody's integration feels more polished for enterprise workflows; Sourcegraph documentation confirms full feature parity across VS Code and JetBrains with Neovim support.
Can I choose which LLM models to use with each tool?
Yes, both tools support model choice. Continue.dev gives developers the freedom to choose any LLM model—OpenAI GPT-4o, Anthropic Claude 3.5, Google Gemini, or local models like Ollama and LM Studio. Cody supports multi-LLM switching between Anthropic Claude 5 Opus, OpenAI GPT-5 Turbo, and Google Gemini Ultra 2.0.
Bottom line
Continue.dev and Sourcegraph Cody target fundamentally different buyers. Continue.dev is the overwhelming choice for individual developers, early-stage startups, and engineering teams prioritizing sovereignty and cost control.
Continue.dev is the cleanest open-source bet in AI coding in 2026 with one Apache 2.0 extension, one JSON config, every provider pluggable, and a self-host story that closed tools cannot match; if your team values transparency and control over out-of-the-box polish, it is the default choice.
Developers can start free, use local models for zero cost, and plug in any cloud provider on demand without vendor lock-in. The trade-off is configuration complexity and reliability at enterprise scale.
Sourcegraph Cody is purpose-built for large enterprises managing complex codebases across microservices, where multi-repository code intelligence, compliance certifications (SOC 2 Type II, ISO 27001), and managed infrastructure justify the enterprise tier cost.
If your team operates in a regulated industry, manages dozens of interconnected services, and has budget for dedicated AI tooling, Cody's deep codebase understanding and turnkey enterprise deployment win.
If your team is small, values privacy, or needs the flexibility to swap models and providers without re-tooling, Continue.dev's open-source architecture is incomparable.
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