Discover how Roboto AI accelerated development with Augment Code’s context-aware AI assistant, improving coding workflows, ensuring consistency, and enabling faster onboarding for their lean team.

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The Challenge

At Roboto AI, a startup spun out of the Ai2 incubator, the team faced a significant challenge: how to maximize developer productivity with a small, agile team. 

With a highly full-stack team working across Python for backend services and TypeScript for frontend development, Roboto AI needed a way to handle repetitive coding tasks efficiently while maintaining consistent code quality. 

John Hubberts, a founding engineer at Roboto AI, explained that the team required a tool that understood their codebase deeply enough to offer meaningful suggestions across their entire stack. Without such context, maintaining consistency and scaling their development efforts was becoming increasingly difficult.

Why Augment?

Roboto AI chose Augment over GitHub Copilot due to its deep codebase awareness and ability to streamline the development process:

• Deep Context Awareness: Augment goes beyond file-level context. It understands relationships between backend and frontend code, offering relevant, accurate suggestions across the entire stack. This gives accurate, end-to-end suggestions.
  "It's not just looking at a small amount of context... there's a much deeper understanding about what's going on end to end, which has just been really valuable."

• Enhanced Code Consistency: Augment helps keep coding practices consistent across the team. It respects the codebase's idioms and conventions, making it easy for everyone - from veterans to new hires - to contribute. "We needed a tool that could allow us to do things the same way repeatedly, so it’s easy for anyone to understand the code." 

• Faster Execution of Routine Tasks: From setting up API endpoints to managing database migrations, Augment significantly reduces the manual effort involved. It automatically suggests boilerplate code and patterns, speeding up routine work."Augment has taken the typing aspect of the job and cranked down the time investment significantly." 

• Smooth Onboarding for New Engineers:  New engineers can quickly learn code patterns and conventions with Augment, making onboarding faster and easier.
  "You immediately, as a new engineer, get the full dividends of the context awareness." 

The Results

After using Augment, Roboto AI saw immediate gains in speed and efficiency. Augment’s AI suggestions cut down the time spent on repetitive tasks by understanding the full context of their mono repo, from backend systems to frontend interfaces.

"It's really nice to be working on something in the front end and have suggestions that know about something on the backend… that's exactly what I wanted.”

Key Success Metrics:

• Reduced Time for Routine Tasks: Augment’s deep context awareness helped developers write less boilerplate code and focus more on creative work."It's taken that typing aspect of the job and cranked down the time investment significantly," John notes.

• Improved Onboarding Experience: Augment helps new engineers quickly understand code patterns and conventions, ensuring consistency and reducing the learning curve. "You immediately as a new engineer get the full dividends of the context awareness.”

• Enhanced Productivity: By automating routine tasks, Augment allowed Roboto AI to focus on high-impact work, enabling the team to achieve more with fewer resources.
  "It becomes more like having a collaborative conversation or pair programming.”

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About Roboto AI‍

Roboto AI is a robotics-focused startup that emerged from the Paul Allen Institute for Artificial Intelligence incubator. Their mission is to make advanced sensor data analysis accessible for robotics companies. They offer a B2B SaaS platform with ready-to-use sensor data analysis, saving time and resources by removing the need to build and maintain data analysis infrastructure from scratch.

Industry: Robotics

Location: Remote

Languages, Frameworks, Libraries: Python, TypeScript

IDE: VS Code

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