Continue vs Sourcegraph (2026 Review)

Section 01

Best for what

5 use cases scored. Continue wins 1, Sourcegraph wins 3.

Pricing value
Neither tool publishes a starting price.
Even
Free tier
Continue offers a free tier; Sourcegraph is paid only.
Continue
User ratings
Sourcegraph averages 4.9 / 5 vs 4.8 / 5 on the other side.
Sourcegraph
Review volume
Sourcegraph has 207 ratings vs 124 on the other.
Sourcegraph
Editorial standing
Sourcegraph ranks in our Rising tier; Continue sits in the unranked tier.
Sourcegraph

Section 02

Pros & cons

Where each tool earns its rating — and where it falls short.

Continue

Developer Tools

Pros

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

Developer Tools

Pros

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 Tools

Pros

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.

Spec

Continue

Sourcegraph

Pricing
Free open-source IDE assistant; Continue Hub for teams with usage-based and enterprise pricing on request. Active GitHub community and customers including Workday, Mercedes-Benz, Sourcegraph, and others.
Inquire
Pricing model
Freemium
Paid
Free tier
Yes
No
Free trial
No
No
Rating
4.8 / 5 (124 ratings)
4.9 / 5 (207 ratings)
Saves
168
450
Categories
Developer Tools, Coding Assistants
Developer Tools
Verified
Yes
Yes
Top 100 tier
—
Rising
Last updated
Jun 2026
Jun 2026

Frequently asked

Continue vs Sourcegraph FAQs

Quick answers to the questions readers ask before picking between these two.

Can I use Continue with local models completely offline?

Yes, Continue 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 require programming to set up?

Continue 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 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 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 and Sourcegraph Cody target fundamentally different buyers. Continue is the overwhelming choice for individual developers, early-stage startups, and engineering teams prioritizing sovereignty and cost control.

Continue 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's open-source architecture is incomparable.

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