AugmentCode

AugmentCode is an advanced AI platform designed specifically for software development teams, offering a suite of powerful tools that go beyond traditional coding assistants. What sets AugmentCode apart is its ability to deeply understand and integrate an organization's specific codebase, documentation, and development practices into every interaction, effectively putting a team''s collective coding knowledge at each developer''s fingertips.

At its foundation, AugmentCode features a context engine that can process and understand massive multi-million line codebases—a critical capability for enterprise development environments. Traditional AI coding assistants often struggle with large codebases or require developers to manually provide relevant context. AugmentCode''s system, by contrast, employs sophisticated real-time sampling to identify the precise subset of code necessary for each task, allowing it to work effectively with enterprise-scale projects. This context engine is enhanced by real-time synchronization across teams, ensuring that when one developer makes a change, everyone''s AI assistant is immediately aware of that change—mirroring the collaborative nature of modern software development.

The platform offers three primary interfaces that address different aspects of the development workflow. Chat functions as an "ask me anything" for code, providing instant answers that would typically require searching documentation, interrupting teammates, or opening tickets. This capability helps developers quickly get up to speed on new components, investigate bugs, or work with unfamiliar APIs without disrupting their workflow or waiting for responses from colleagues.

Next Edit provides turn-by-turn guidance for complex code changes, helping developers navigate the ripple effects that even small modifications can create across a codebase. This feature is particularly valuable for refactors, dependency upgrades, and schema changes, which often involve repetitive work across multiple files. By offering step-by-step guidance, Next Edit reduces the cognitive load of keeping track of all the details in multi-step changes.

Completions deliver personalized in-line code suggestions that truly understand the developer''s codebase, dependencies, and external APIs. Unlike generic code completion tools, AugmentCode''s completions leverage the deep contextual understanding of the specific project, allowing developers to write better code faster without having to keep complex classes, APIs, and schemas in their head.

A particularly innovative feature is "Memories," which learns from developer interactions to better align with individual coding styles and preferences over time. This recognizes that coding isn''t purely mathematical logic but also involves artistic and stylistic elements that many developers care deeply about. As developers interact with the platform, it captures their intent and preferences, adapting to provide more personalized assistance over time.

For enterprise customers, AugmentCode provides robust security features and tool integrations designed for large development teams. The platform has achieved SOC 2 Type II certification and offers a promise of never training AI models on customers'' proprietary code, providing always-on IP protection. Enterprise features include an isolated environment, SSO/OIDC/SCIM support, analytics dashboards, Slack integration, and dedicated support with custom terms and invoicing.

AugmentCode has demonstrated impressive performance metrics, reporting a 70% win rate against GitHub Copilot in enterprise business scenarios and achieving record-breaking scores on the SWE-bench evaluation. The platform is currently used by companies including Webflow, Pigment, Lemonade, ddn, Datastax, and GoFundMe, with pricing starting at $30 per user per month for professional use.

Through its comprehensive approach to AI-assisted software development, AugmentCode represents a significant advancement in developer productivity tools, addressing the unique challenges of enterprise software teams while respecting the individual preferences and expertise of each developer.