Best fit
Who should shortlist this first
- Code Generation buyers
- Technologists & IT Teams
Cody is an AI coding assistant developed by Sourcegraph that integrates with various IDEs to help developers write, debug, and maintain code more efficiently by understanding the entire codebase.
Pricing
$19 / month
Reviews
60+
Founded
2013
Team Size
51-200 employees
Current Deal
Startup plan: free for up to 10 users
About Sourcegraph Cody
Sourcegraph Cody is your AI coding teammate, built to understand your entire codebase and help you write, fix, and navigate code faster. Integrated directly into your editor, Cody goes beyond autocomplete -- leveraging the full context of your repositories, docs, and development history to provide accurate answers, generate relevant code, and accelerate everyday tasks. Powered by Sourcegraph's code intelligence, Cody supports multi-repo understanding, precise search, and deep codebase Q&A, making it an indispensable tool for high-performing engineering teams.
Key Features AI-Powered Coding Assistant : Helps write, fix, and understand code using natural language. Codebase Context : Understands your entire codebase for accurate answers and suggestions. Multilingual Support : Works across many programming languages and frameworks. IDE Integration : Available in VS Code, JetBrains, and Sourcegraph's web UI.
Autocomplete & Chat : Offers in-line code completions and a powerful chat interface. Documentation & Refactoring : Generates docs, explains code, and assists with refactors. Secure & Private : Can be self-hosted or run with strict access controls. Enterprise Ready : Scales to large monorepos and complex codebases for teams.
Pricing
$19 / month
Sourcegraph Cody offers three pricing tiers.
Free plan, an AI editor extension for hobbyists or light usage, at $0 per month.
Enterprise Starter plan, a powerful AI coding assistant and search experience for growing teams, hosted on the cloud, at $19 per user per month.
Enterprise plan, delivering advanced AI, code intelligence, and flexible deployment for large-scale teams, at $59 per user per month.
Buyer Fit & Commercial Snapshot
Buyer teams
Common buyer roles
- Technologists & IT Teams
- Self-Hosted Option
- AI-Powered
- Role-Based Access
Commercials
Commercial snapshot
Pricing
$19 / month
Reviews
60+
Founded
2013
Team Size
51-200 employees
Procurement
Questions to answer before purchase
- Confirm security, access controls, and onboarding ownership directly with the vendor.
- Validate how $19 / month pricing scales as usage grows.
- Review website and support resources before procurement review.
- Compare the current deal terms against standard packaging and renewal structure.
Buyer-fit and commercial detail available
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Agent Operating Model & Governance
Operating model
Agentic buying snapshot
Autonomy
Agentic execution within buyer-defined guardrails
Approvals
Buyer-defined controls
Connected Systems
3
Evals
Clarify during review
$19 / month plus agent-runtime, model, or workflow consumption should be clarified during procurement.
Human oversight
Approval gates
- Clarify which actions pause for human review versus execute automatically.
- Document whether admins can require approval before outbound messages, record updates, purchases, or payments.
- Confirm that approval events are visible in audit logs and trace history.
Systems
Connected systems and execution surfaces
Connected systems
- CRM, support, docs, browser, messaging, and custom APIs should be documented before rollout.
- Check whether admins can scope tool access by workflow, user role, or environment.
- Ask which systems are first-class integrations versus custom connectors.
- Jira Service Management
- Gusto
- MuleSoft
- Xero
- Self-Hosted Option
Execution surfaces
BrowserEmailCRMSupport toolsCustom APIsMessaging surfaces
Models
Model stack, observability, and evals
Model stack
- Supported model providers and routing controls should be explicit.
- Clarify fallback behavior between providers, models, or prompts.
- Check whether model choice is buyer-configurable by workflow.
Observability
- Trace visibility across prompts, tool calls, latency, and cost.
- Audit trail for approvals, failures, retries, and handoffs.
- Operational analytics that help teams understand run quality over time.
Eval coverage
- Regression datasets for critical workflows and prompts.
- Task-success or rubric-based scoring on agent outcomes.
- Human-review loops to validate edge cases before broad rollout.
Governance
Data boundaries and fallbacks
- Retention windows, model-training policy, and tenant isolation should be explicit.
- Per-tool permissions and least-privilege access matter for production rollout.
- Confirm PII handling, redaction controls, and region or residency options.
Sourcegraph Cody should document how runs pause, retry, escalate, or hand off when confidence drops or a tool step fails.
Agent buying criteria available
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Stack Fit, Alternatives & Trust
Ecosystem
Commonly evaluated with
Jira Service ManagementGustoMuleSoftXeroSelf-Hosted OptionAI-PoweredRole-Based AccessEnterprise-Ready
Alternatives
Other products buyers may compare
- GitHub Copilot
- Lovable
- Cursor AI
- GitLab
- Docker
- Replit
- Claude Code
- Sentry
Trust
Signals available today
- Users consistently praise Sourcegraph Cody for its integration options and AI-powered features. The platform is well-regarded for meeting the needs of its target users. Some note that output quality varies and requires developer review.
- LinkedIn company profile available
- Profile refreshed Jun 22, 2025
- Public profile launched Jun 22, 2025
Executive scan
Summary and what a claimed profile unlocks
Sourcegraph Cody is a code generation product positioned for buyers that want stronger context around pricing, category fit, and real-world proof before committing to a shortlist.
How should buyers evaluate this profile?
Start with category fit, pricing posture, and buyer proof. Then confirm rollout support and procurement readiness directly with the vendor.
What makes the profile stronger after a vendor claims it?
Claimed profiles unlock richer buyer-fit notes, rollout guidance, procurement details, outcome proof, alternatives, and freshness updates.
Deeper stack and trust research available
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Case Studies
Enterprise deployment at scale
A mid-market company implemented Sourcegraph Cody across 3 departments, reducing operational overhead and consolidating their workflow into a single platform...
ROI within first quarter
After switching to Sourcegraph Cody, the team reported measurable improvements in efficiency and a positive return on investment within 90 days...
Case studies available
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Notable Customers
- Indeed
- Stripe
- Uber
- Dropbox
Named customer proof available
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