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    Sourcegraph

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    Sold by: Sourcegraph 
    Sourcegraph is the code understanding layer for enterprises. It gives developers and AI agents instant context and control across every repo, branch, and language-succeeding where other tools break under scale and complexity.
    4.5

    Overview

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    Enterprise codebases are massive, fragmented, and hard to navigate. Developers waste time chasing context instead of building, while AI tools fail on real-world code and internal DIY systems crumble under scale and compliance. The result is slower shipping and stalled AI adoption.

    Contact Sourcegraph (marketplace@sourcegraph.com ) for enterprise pricing.

    Highlights

    • Accelerate developer and agent flow. Give developers and agents instant access to the right code and context so work happens faster and friction-free.
    • Ship with confidence. Ensure every human and AI-driven change is accurate, compliant, and consistent across the org.
    • Built for the largest, most complex codebases. Account for every code host, language, monolith, service, and framework: keep performance at enterprise scale.

    Details

    Delivery method

    Deployed on AWS
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    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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    Pricing

    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (2)

     Info
    Dimension
    Description
    Cost/12 months
    Sourcegraph Users
    Number of Sourcegraph Users
    $25,000.00
    Deep Search Credits
    Additional Deep Search credits
    $10,000.00

    AI Insights

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    Dimensions summary

    This contract-based listing has two pricing dimensions. You pay per Sourcegraph User, so cost scales with the number of people using the platform. Each user includes credits for AI features, which pool across your organization. The Deep Search Credits dimension is a usage add-on. You buy these credits when your AI Deep Search needs exceed the amount included with your users. Together, the two dimensions let you size the base user count and adjust AI usage capacity independently.

    Top-of-mind questions for buyers

    A Sourcegraph User is one person with access to the platform. You pay for each user you provision. Every user includes a set of credits for AI features, and those credits pool across your whole organization rather than staying locked to one person.
    Each user comes with credits that pool org-wide. When your team uses more than the pooled amount, you buy Deep Search Credits as an add-on. These credits do not expire monthly and roll over on renewal, so unused capacity carries forward.
    The Sourcegraph Users dimension usually drives the base cost, since it scales with team size and includes bundled AI credits. Deep Search Credits add cost only when AI usage exceeds pooled credits. Both bill independently and appear on the same invoice.
    sourcegraph.com
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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Vendor resources

    Support

    Vendor support

    Support and resources are available through Sourcegraph's documentation, resource library, and community links on their website. Users can log in or sign up for accounts to access additional support and product features. Main contact and support information can be found at https://sourcegraph.com/contact  and reached out at support@sourcegraph.com .

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In Source Control
    Top
    25
    In Testing
    Top
    10
    In Source Control

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    1 reviews
    Insufficient data
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    Overview

     Info
    AI generated from product descriptions
    Multi-Language Code Support
    Supports analysis and navigation across multiple programming languages within enterprise codebases.
    Multi-Repository Management
    Handles code understanding and indexing across multiple repositories, code hosts, and branching structures simultaneously.
    Enterprise-Scale Performance
    Maintains performance and functionality across large, complex, fragmented codebases including monoliths, microservices, and various frameworks.
    Code Context and Search
    Provides instant access to code context, dependencies, and search capabilities across the entire codebase for developers and AI agents.
    Compliance and Change Validation
    Ensures accuracy, compliance, and consistency of code changes across the organization for both human and AI-driven modifications.
    Multi-Agent Code Review Automation
    Specialized agents run across pull requests to write descriptions, flag issues with remediations, and enforce governance and security standards across GitHub, GitLab, Bitbucket, and Azure DevOps.
    Cross-Repository Codebase Context
    Code review analysis leverages full cross-repository codebase context to identify breaking changes, dependency conflicts, architecture-level issues, and hidden risks.
    Centralized Rules Engine
    Centralized system to define and enforce organizational standards including security policies, coding standards, architectural conventions, and compliance requirements consistently across all pull requests.
    IDE and Git Integration
    Agents operate across integrated development environments and Git platforms with shared cross-repository context to deliver precise code reviews.
    Configurable Review Agents
    Specialized review agents can be configured with shared context to enforce code quality rules and execute specific review tasks using integrated tools.
    Source Code Management
    Powerful branching tools and code management capabilities for creating and managing code repositories
    CI/CD Pipeline
    Advanced continuous integration and continuous deployment with automatic testing, reporting, and release controls
    Enterprise Agile Planning
    Project planning tools with analytics and insights into team productivity for multi-team usage and scaling organizations
    Package Management
    Built-in universal package management for creating software supply chains with strict quality standards
    AI-Powered Development Assistance
    GitLab Duo integration providing code completion, code generation, code explanation, and developer experience enhancements throughout the software development lifecycle

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    4.5
    1 ratings
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    1 AWS reviews
    Vlad Chiriacescu

    Using an AI assistant has streamlined code discovery and has accelerated my development work

    Reviewed on Nov 06, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I worked with Sourcegraph only through the AI code assistant AMP, and I haven't used other products from Sourcegraph.

    I did use Cody as well, in addition to AMP.

    I used Cody integrated in IntelliJ IDEA, so I was using it as a chat, typing in a chat box. With AMP, it was more terminal-based, as far as I remember, but I wasn't using a specific code search feature.

    What is most valuable?

    Overall, Sourcegraph did save me time in my development process due to its capabilities in streamlined code discovery. It helped with discovering what's already in the codebase, accelerating development, reviewing afterwards, and producing results. I found I gained more value from both products as I got more experience with prompting.

    The integration with Sourcegraph did help my development workflow. I had a fun experience developing with both AMP and Cody during last year in my previous job. I should mention that I hadn't used assistants before that, probably only GitHub Copilot in December 2024. Roughly, I've been consistently using an assistant only since last year. I started with Cody for roughly half a year, then switched to AMP in the middle of summer, so I basically transitioned from no assistant to using an assistant via these two products last year.

    What needs improvement?

    I did face some issues with Sourcegraph, such as making a lot of patches and upgrades very quickly. I was surprised in summer when they deprecated Cody, prompting me to switch to AMP, but I adapted. I think a few months later, they informed me I should update because they had a nice UI on the latest version of AMP. I was a little behind with updating it, so I had to ask them for instructions at some point, but I would say that is rather minor compared to the experience of using the assistant, especially considering I was using no assistant in 2024.

    The interface of Sourcegraph was a bit unusual as it was more terminal-based, especially for AMP. Although it didn't stop me from working, I did find that sometimes the terminal-based UI would post sayings from people who used AI, and they were sometimes truncated, which made it difficult to read the full sentences. This is more of a nitpick, as in the grand scheme of things, my overall experience with it was positive.

    For how long have I used the solution?

    I am currently working with Sourcegraph, as I installed AMP, an agentic assistant, last year for a few months. I used AMP, which is from Sourcegraph.

    I used Sourcegraph's AMP in 2025 and stopped using it in the spring of this year because I changed jobs and have different requirements. We use different assistants in the new job.

    How are customer service and support?

    I did contact Sourcegraph's technical support, and I remember interacting with one of the support members who gave me instructions on what to do. I don't remember all the details, but at that point, I managed to move past the issue. I didn't have a specific problem with it, but I needed to figure out a few steps to properly update it, which is why I reached out in the first place.

    What's my experience with pricing, setup cost, and licensing?

    Cody came via a plugin in IntelliJ, and AMP was also in IntelliJ but more terminal-based. I recall running out of credits and purchasing $20 worth of more credits. The other options were a bit more restrictive, while Sourcegraph's approach was flexible, allowing me to pay as I needed more.

    What other advice do I have?

    My recommendation to others reading reviews on PeerSpot is to note that switching from no assistant to having one was a big change for me. It wasn't straightforward, as I had to learn proper workflows for code review, but the switch to AMP was beneficial.

    I would rate my experience with Sourcegraph around an 8 or 9 out of 10 overall. It was pretty good for that year. I'm using Copilot now, but it's a different year, and models have evolved, making it hard to compare.

    For that year, I would give Sourcegraph a nine. I'd take one point off because I felt it was about communication; they were releasing many things, and I felt outdated quickly.

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