Augment Code is more than a tool, it accelerates your team. See why leading startups to Fortune 500 organizations choose Augment.
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The CLI changed everything. Being able to call agents directly from my existing workflows — CI/CD, validation, architecture reviews — that’s what made Augment's value real for me and the engineers in my team.
Case Studies
GoFundMe exists to help people help each other. For Arnie Katz, Chief Product and Technology Officer, that mission has a direct operational translation: every week of cycle time cut, every backlog ticket cleared, every feature shipped faster helps more money flowing to the people and nonprofits who need it. With a team of 400 technologists and those stakes, velocity isn't a vanity metric, it's imperative.
Intercom ships fast. It’s the leading AI customer service company that delivers Fin, the best performing AI Agent for customer service, and a next-generation helpdesk for human support. Their infrastructure and product teams manage large Ruby and JavaScript codebases, distributed systems, and a constant stream of high-impact changes. But as senior engineers explored agent-driven development, they found existing tools struggled with context, consistency, and reliability. After trying Cursor and multiple LLM coding tools, Intercom adopted Augment Code to enable parallel agent workflows, accelerate large feature builds, and give engineers a trusted way to offload the repetitive details of coding—without sacrificing quality.
Adam Gee, VP of engineering at Rubrik, didn’t change his mind about AI after a demo or a roadmap. It happened while watching an agent work end to end on Rubrik’s real codebase. He gave Auggie an idea—not a snippet, not a carefully engineered prompt—and watched it get to work. It inspected the codebase, built a plan, made coordinated approved changes, ran unit tests, fixed failures, and re-ran them until the system passed. “That was a real game-changer moment for me.”
Pure Storage's 2,000-engineer team is building a new development methodology powered by Augment's Context Engine—aiming to triple their delivery velocity while maintaining enterprise-grade security.
MoneyGram, a leading global payments network, is undergoing a transformation centered on one goal: moving fast, thoughtfully and at scale to deliver a seamless omnichannel experience for customers around the world. As such, MoneyGram’s architecture and engineering teams are reimagining how technology is built and delivered. Through a partnership with Augment Code, MoneyGram is empowering teams to take ideas from concept to production in record time, all while maintaining the reliability and trust that define the MoneyGram brand.
Tekion has deployed one of the industry’s most mature AI-driven engineering frameworks, using persona-based agents across development, QA, and product for more than 1,300 engineers. By combining Augment’s deep codebase reasoning with Tekion’s structured workflows, the team has turned AI into core engineering infrastructure—achieving 50–100% productivity gains, 90%+ test coverage on major systems, and thousands of automated PR reviews each month.
Facing strict HIPAA requirements and an ever-growing, sophisticated data analytics platform, Garner Health’s engineering team chose Augment Code to prototype complex infrastructure faster, enforce organization-wide coding standards, and keep developers in their preferred IDEs—without compromising compliance.
Discover how DXC Technology, a Fortune 500 IT services leader, accelerated its software delivery lifecycle and empowered teams across its 50,000-developer organization through AI. As one of the AI-engineering tools used within DXC’s broader ecosystem, Augment Code has been embedded into select critical projects to cut delivery timelines from months to days, strengthen collaboration across teams, and advance a new model of agentic software engineering.
By combining Augment’s reasoning capabilities with MongoDB’s engineering rigor, the team is turning AI from an assistant into infrastructure.
LendingTree’s IT Operations team uses Augment Code to reduce toil, accelerate planning, and streamline complex workflows—spanning everything from sprint planning to cloud spend analysis.
Kong, managing a complex microservices architecture, faced challenges around developer productivity and collaboration. Augment helped streamline their development processes, enabling engineers to focus on high-level problem-solving.
Handoff’s engineering culture is proudly AI-first. As Edwin Vargas, a full-stack engineer on the team, put it: “If AI can be used for a task, it will be used.” But that mindset wasn’t blind optimism. The team started with healthy skepticism—running side-by-side trials between Copilot, OpenAI Codex, and Augment. They measured impact continuously using their internal engineering-productivity tracker. What began as a small experiment turned into a data-driven rollout across the entire engineering org.
By combining a relentless focus on customer needs with Augment Code’s context-aware AI, Quorum’s engineering team turned a three-week development timeline into three days — shipping a game-changing personalized feature just in time for a major industry conference.
With Augment’s context-aware suggestions and multi-language support, Newfront improved developer efficiency. The team could focus on building AI-driven insurance models and production-level AI integrations, rather than routine coding tasks.
Facing challenges with a multi-million-line C++ codebase, Pure Storage leveraged Augment to enhance developer efficiency, improve onboarding, and streamline debugging, resulting in significant productivity gains across teams.
Deep context awareness, maintained flow state, and sophisticated tooling. With Augment, Webflow’s frontend and backend teams navigate their complex tech stack more efficiently.
Discover how AMP, a leader in AI-powered recycling solutions, optimized their software development process with Augment Code. By leveraging Augment’s low-latency completions and multi-language support, AMP’s senior developers reduced keystrokes and enhanced their focus on complex robotics tasks.
Discover how Pocketlaw, an AI-first legal management startup, leverages Augment's lightning-fast, context-aware coding assistant to streamline development workflows, boost engineer satisfaction, and prototype AI-powered legal solutions more efficiently.
Discover how Pigment automated boilerplate tasks and simplified testing with Augment Code. By leveraging Augment's context-aware suggestions and multi-language support, Pigment's developers stay in flow and deliver value faster.
Discover how Paystone boosted development efficiency, addressed code privacy concerns, and gained valuable data metrics by adopting Augment Code's AI assistant.
Learn how Observe, Inc. overcame IntelliSense issues in their complex codebase using Augment. With faster, accurate code completions and improved code comprehension, they enhanced developer productivity, reduced onboarding time, and maintained workflow efficiency.
Discover how Quorum, the market-leading public affairs platform, improved their development workflow by transitioning from GitHub Copilot to Augment Code. With faster response times and better context awareness, Quorum's engineering team achieved higher developer satisfaction across their modern tech stack.
LMNT, an AI speech startup, was an early adopter of coding assistants, but faced challenges with code quality and productivity across their diverse tech stack. Augment's AI-powered coding assistant improved code completions, refactoring, and overall developer experience. This resulted in faster velocity and fewer PR comments.
Deep context awareness, accelerated migrations, and reduced bugs. With Augment, Codem Inc. efficiently modernizes complex legacy systems for their clients while enhancing due diligence capabilities.
Get Started
Install Augment to get started. Works with codebases of any size, from side projects to enterprise monorepos.
