Sourcegraph (Amp/Cody AI platform)

Business Profile

Core Value Proposition

Sourcegraph provides an AI-powered software development platform that industrializes software development with AI agents (Amp) to automate code search, analysis, and editing across large codebases.

Target Customer

Engineering teams, software developers, CTOs/VPs of engineering, and IT/DevOps leaders in enterprises

Key Differentiator

Integrated AI agents (Amp/Cody) with deep codebase context, enterprise-grade security (data isolation, zero retention, no model training on customer data), and seamless integration with all code hosts and major editors, plus automated batch changes and code insights in a single UI

Implementation Timeline

Immediate to days depending on use case; some examples show results within minutes (e.g., rapid identification of issues) and fixes within days (Nutanix case). Enterprise deployments suggest value across ongoing development workflows.

Pain Points

1Finding and understanding code across large, multi-repo codebases
2Automating repetitive code changes at scale while maintaining quality
3Gaining actionable insights about code health, migrations, and vulnerabilities

Key Features

1Code Search with Deep Search and agentic search
2Batch Changes for large-scale automated code edits
3Code Insights for visualizing codebase metrics
4AI coding assistant capabilities (Cody/Amp) with enterprise-ready security
5Seamless integrations with VS Code, Cursor, Windsurf, JetBrains, and CLI; supports all major editors and code hosts

Target Customer Industries

Decision Makers

1Principal Engineer
2Software Engineer
3Staff Developer
4Application & Services Section Leader

Client Results

1Engineers saving roughly 5-6 hours per week using AI code assistant tools like Cody and writing code 2x faster
2Nutanix identified Log4j instances in minutes and implemented a fix within 2 days
3Workiva reports Batch Changes saves time, reduces errors, and increases confidence in deployment plans
4CERN users can quickly locate code snippets and relevant repositories, enabling self-service code discovery

Competitive Advantages

1AI agents tightly integrated with code search and code intelligence
2Enterprise-grade security (full data isolation, zero retention, no model training on customer data, detailed audit logs)
3Broad editor/IDE and code-host compatibility (VS Code, JetBrains, etc.)
4Ability to automate large-scale changes (Batch Changes) and derive insights (Code Insights) in a single platform

Key Benefits

1Faster code discovery and understanding across large codebases

2Automated, large-scale code changes with reliable traceability

3Actionable code insights and health metrics

4Secure, enterprise-grade handling of data and models

5Unified UI for chat, search, and editing across IDEs

Case Studies & Success Stories

Nutanix case study

Case #1

Nutanix used Sourcegraph to identify Log4j instances in minutes and implemented a fix within 2 days.

CERN code search efficiency

Case #2

CERN staff highlighted rapid access to code snippets and repository lists via Code Search, enabling self-served answers and faster problem isolation.

Workiva Batch Changes efficiency

Case #3

Workiva noted that updating repositories with Batch Changes saves time, reduces errors, and improves confidence in deployment plans.

1Password code discovery automation

Case #4

James Griffin Allwood, Staff Developer at 1Password, emphasized faster location of code across repos and improved search discovery in practice.

Additional Product Information

Product Description

Sourcegraph is an AI-powered software development platform offering Code Search, Batch Changes, and Code Insights, with AI agents (Cody/Amp) to accelerate coding across large codebases and enterprises.

Target Market

Large and mid-sized software engineering teams, IT organizations, and enterprise development groups seeking scalable AI-assisted development and code intelligence.

Unique Value Proposition

Enterprise-grade, AI-powered code intelligence with secure, scalable automation across multi-repo environments, deep codebase context, and seamless integration with all major editors/code hosts, enabling faster delivery and higher quality code.

Technical Requirements

Supported environments include VS Code, Cursor, Windsurf, and a CLI; integrates with GitHub, GitLab, and Bitbucket; supports major editors; can access latest LLMs; emphasizes data isolation and no model training on customer data.

Pricing Model

Plans include Code Search and Batch Changes; Enterprise Starter plan for teams up to 50 developers with access to powerful code search, AI chat, and multi-repo context; pricing includes Deep Search with a monthly quota (3 free Deep Searches per user per month) starting Oct 15, 2025; ongoing usage-based pricing for additional features

Companies Solving Similar Problems

Based on matching: problems solved, target roles, key features, industries

Chromium Git repositories

Chromium Git repositories provide a comprehensive platform for managing and hosting Chromium and ChromiumOS-related code repositories.

Technology

Software

Baeldung Courses

Baeldung Courses provides comprehensive, practical Java and Spring training through online courses and All Access licenses, delivering video and text lessons, certificates of completion, and project-based material to help developers build production-grade APIs and secure applications.

Technology

Finance

ACM Queue

ACM Queue provides in-depth, practitioner-focused content on software engineering and computer science, including case studies and interviews that reveal lessons learned from real projects.

Healthcare

Technology

Google Developers Blog (formerly The official Google Code blog)

Google Developers Blog provides updates on Google APIs and developer tools; originally The official Google Code blog, now rebranded to Google Developers Blog to unify Google's developer programs.