Comparing as AI Code Generation & AutocompleteSourcegraph Cody vs Augment Code
Sourcegraph Cody
Augment Code
Core Differences
The fundamental difference lies in their architectural approach to code context and platform scope.
- Sourcegraph Cody is an AI coding assistant built on top of Sourcegraph's established code intelligence platform. It leverages Sourcegraph's existing Search API to dynamically pull context from across multiple repositories. This means its power is deeply tied to the Sourcegraph indexing infrastructure, making it a natural extension for organizations already using Sourcegraph for code search and navigation. Its focus is primarily on enhancing the coding experience within the IDE and CLI.
- Augment Code, conversely, is an AI-native platform with a purpose-built, proprietary Context Engine that semantically indexes codebases, creating a persistent graph of code relationships. This engine powers not only its coding assistant but also a broader Cosmos agentic platform designed to automate a wider array of software development lifecycle (SDLC) workflows, from ticket creation to automated code review, incident investigation, and migrations. Augment aims to be a comprehensive AI layer across the entire engineering process, rather than solely an IDE-centric assistant.
Verdict by Category
Best for Enterprise-wide Code Context
Augment's proprietary Context Engine builds a persistent semantic graph across 400K+ files, offering a deeper and more granular understanding of code relationships than dynamic search.
Best for Full SDLC Automation
Augment's Cosmos platform provides agentic workflows covering ticket-to-PR, automated code review, test coverage, incident investigation, and migrations, extending beyond coding assistance.
Best for LLM Flexibility
Cody allows enterprise admins to select from Claude, GPT, or Gemini models, providing greater flexibility and avoiding vendor lock-in at the LLM level.
Best for Security & Compliance in Regulated Environments
Augment is the first AI coding assistant with ISO/IEC 42001 certification, alongside SOC 2 Type II and CMEK, making it highly suitable for stringent compliance needs.
Best for Integration with Existing Code Intelligence Platforms
Cody is deeply integrated with the Sourcegraph platform, making it the ideal choice for organizations already utilizing Sourcegraph for code search, navigation, and batch changes.
Best for Predictable Enterprise Team Pricing
Augment's usage-based flat pricing ($100/month for up to 50 seats with pooled usage) offers more predictability for teams with variable activity compared to Cody's per-user model.
Editor's Take
Honest opinion from our review team
As an editor evaluating these sophisticated AI coding tools, I found that both Sourcegraph Cody and Augment Code represent the bleeding edge of enterprise AI assistance, moving far beyond simple autocomplete. The feel of using Cody is one of seamless integration if you're already within the Sourcegraph ecosystem. Its ability to pull context from across a dozen repositories instantly feels like having an omniscient assistant deeply familiar with your entire codebase, not just the open file. The agentic chat and auto-edit features are genuinely powerful, making complex refactorings or debugging sessions feel significantly less daunting. It's like having a senior engineer pair-programming with you, intimately aware of every corner of your company's code.
Augment Code, however, offers a subtly different, yet equally impressive, experience. The deep semantic understanding provided by its Context Engine is palpable; it feels less like searching and more like knowing. The Auggie CLI, in particular, felt incredibly robust for complex tasks, and the promise of the Cosmos platform for automating entire SDLC workflows is truly compelling. It's not just helping me write code faster; it's helping me manage the entire development process with AI. The automated code review feature, integrated into GitHub, felt like a glimpse into the future of PRs, catching nuanced issues that might otherwise slip through. While both are premium, enterprise-focused solutions, Augment's broader platform vision and unique pricing model for smaller teams might give it an edge for organizations looking to infuse AI across their entire engineering workflow, beyond just the IDE.
Detailed Comparison
Both Sourcegraph Cody and Augment Code are squarely focused on the enterprise market, having discontinued individual or self-serve pro plans. Their pricing models reflect this B2B orientation, but with distinct approaches.
- Sourcegraph Cody has consolidated its offering into an Enterprise-only product, discontinuing its Free and Pro plans in July 2025. The reported pricing for Cody Enterprise starts around ~$59/user/month on an annual contract, with bundled Sourcegraph platform packages potentially starting at $16,000/year. This is a traditional per-seat, named-user model common in enterprise software. While this provides clear per-user cost visibility, it can become expensive for large teams or those with fluctuating headcounts. All pricing is sales-led and negotiated, offering customization but lacking transparent public tiers.
- Augment Code utilizes a usage-based pricing model with two tiers: Business and Enterprise. The Business plan is a flat $100/month for up to 50 seats, including $100 of pooled monthly usage for LLM inference, Context Engine API calls, and Cosmos compute. Additional usage is pay-as-you-go. This pooled usage model is highly advantageous for teams where developer activity varies, as it avoids wasted spend on inactive named seats. It offers more predictable budgeting for smaller enterprise teams while ensuring costs scale with actual consumption. The Enterprise plan has custom pricing for larger organizations, adding advanced features like CMEK and SIEM integration. Augment also provides a 7-day free trial, a critical advantage over Cody which now requires sales contact for any engagement.
In summary, Augment's flat-rate, pooled-usage model for its Business tier offers greater predictability and value for teams up to 50, whereas Cody's per-user model, while standard, is less flexible for variable team sizes and requires direct sales engagement from the outset.
Sourcegraph Cody Pros & Cons
Pros
- Best-in-class multi-repository context — retrieves relevant code from across entire enterprise codebases, not just the open file
- Deep integration with Sourcegraph Code Search, Code Navigation, and Batch Changes for a unified code intelligence platform
- Admin-level LLM flexibility — choose Claude, GPT, or Gemini per use case without being locked to one model provider
- Guaranteed no-training on customer code with SOC 2 Type II, self-hosted, and air-gapped deployment options
- Trusted by over 1M engineers at Databricks, Plaid, Uber, Lyft, Reddit, GE, Dropbox, and Fortune 500 companies
- Engineers report saving 5–6 hours per week and writing code 2x faster according to Sourcegraph customer data
Cons
- Cody Free and Pro discontinued July 2025 — no self-serve individual tier; enterprise procurement via sales only
- Pricing starts at ~$59/user/month on annual contract, significantly more expensive than GitHub Copilot or Cursor for small teams
- Multi-repo context only works for codebases indexed in your Sourcegraph instance — disconnected repos are invisible to Cody
- No bring-your-own-key (BYOK) model access for individual users — model selection is admin-controlled at the enterprise level
- Requires Sourcegraph platform deployment — not a lightweight plugin for teams not already running Sourcegraph
- Sales-led procurement only adds friction for teams that want to trial the product quickly without a contract
Augment Code Pros & Cons
Pros
- Deepest codebase context of any AI coding tool — Context Engine indexes 400K+ files with semantic graphs, not just open tabs
- #1 on SWE-bench Pro at 51.80% (Auggie CLI) — top publicly benchmarked coding agent score at publication
- First and only AI coding assistant with ISO/IEC 42001 certification alongside SOC 2 Type II and CMEK
- Usage-based flat pricing ($100/mo for up to 50 seats) is more predictable than per-seat models for variable teams
- Cosmos platform covers the full SDLC — from ticket to PR, code review, tests, incidents, migrations, and onboarding
- Trusted by Adobe, MongoDB, Webflow, Snyk, Pure Storage, Crypto.com, Tekion, and DXC across enterprise codebases
Cons
- No free individual tier — Business plan starts at $100/month with a team minimum; sole developers pay full price for low usage
- Pricing changed three times in 18 months (2023–2025), causing some developer community backlash and unpredictability concerns
- IDE support limited to VS Code and JetBrains — no standalone IDE, no Neovim full feature parity, no Visual Studio
- Closed-source with no self-hosting option — all computation runs on Augment's infrastructure or Enterprise cloud tenants
- Context Engine first-run indexing takes 15–30 minutes on large repos before initial suggestions become fully accurate
- Enterprise plan requires sales contact for pricing — no public list price above the Business tier
AI Verdict
In the rapidly evolving landscape of AI-powered developer tools, Sourcegraph Cody and Augment Code stand out as formidable contenders, particularly for large enterprise environments. Both aim to transcend basic autocomplete by offering deep, codebase-wide context, but they approach this challenge with distinct architectures and feature sets. Sourcegraph Cody, built on the mature Sourcegraph code intelligence platform, leverages its proven Search API to retrieve context across 10 or more remote repositories simultaneously. This allows it to provide highly accurate and relevant suggestions, refactorings, and answers based on an organization's entire indexed codebase, making it ideal for companies already invested in Sourcegraph's ecosystem or those prioritizing a unified code intelligence platform.
Augment Code, on the other hand, is an AI-native platform purpose-built from the ground up for enterprise scale. Its core differentiator is a proprietary Context Engine that semantically indexes massive codebases (400,000+ files), constructing a persistent graph of functions, classes, modules, and data flows. This allows for an exceptionally deep and granular understanding of code relationships, powering not just coding assistance but also a broader Cosmos agentic platform that automates workflows from ticket-to-PR, automated code review, incident investigation, and even migrations. Augment's focus is on comprehensive SDLC automation, often achieving top benchmark scores like its #1 ranking on SWE-bench Pro with its Auggie CLI.
While Cody offers admin-selectable LLM models (Claude, GPT, Gemini) and robust deployment options including self-hosted and air-gapped environments, Augment champions its ISO/IEC 42001 certification and unique usage-based pricing model, making it highly attractive for regulated industries and teams seeking predictable costs. Ultimately, Cody excels as a powerful, context-aware coding assistant deeply integrated with code search, while Augment provides a more holistic AI-driven software development platform that spans the entire engineering lifecycle with unparalleled context depth.
Frequently Asked Questions
QWhat kind of code context do Sourcegraph Cody and Augment Code utilize?
Sourcegraph Cody uses Sourcegraph's Search API to dynamically retrieve context from across 10+ remote repositories simultaneously. Augment Code employs a proprietary Context Engine that semantically indexes up to 400,000+ files, building a persistent graph of code relationships for deep understanding.
QAre these tools suitable for individual developers or small teams?
Both tools are primarily designed for enterprise use. Sourcegraph Cody discontinued its Free and Pro plans, making it enterprise-only. Augment Code offers a Business plan at $100/month for up to 50 seats, which can be used by smaller enterprise teams, but neither has a free or low-cost individual tier.
QHow do these tools address data privacy and security for enterprise codebases?
Both offer strong enterprise security. Sourcegraph Cody guarantees no training on customer code, offers SOC 2 Type II compliance, and supports self-hosted/air-gapped deployments. Augment Code is the first AI coding assistant with ISO/IEC 42001 certification, alongside SOC 2 Type II, CMEK, and robust SIEM integration, also guaranteeing no AI training on customer data.
QWhat is the key difference in their platform approach?
Cody is an AI assistant built on Sourcegraph's existing code intelligence platform, enhancing in-IDE coding with deep context. Augment is an AI-native platform with a purpose-built Context Engine and Cosmos agentic platform designed to automate a wider array of SDLC workflows beyond just coding assistance.