We as developers should free ourselves from the everyday tasks that, while necessary, don't always spark joy or push our skills to new heights. The good news is, a lot of this grunt work can be automated!

But how do we do that? How do we make sure that automation is safe, correct, and doesn't lead to unexpected issues?

We at Automa believe that the key to effective automation lies in understanding the codebase deeply. It's not merely about writing scripts or using AI to handle tasks. It's about having a clear understanding of what the code is doing, how it is structured, and how changes will impact the overall system.

This is where Code Understanding, something we are developing, comes into play. By analyzing your code at a profound level, we can automate many of these repetitive tasks deterministically and safely.

And it can also be paired with AI for tasks that need natural language understanding, providing guardrails that steer the agents away from mistakes, thus preventing potential bugs and errors.

We'd love for you to join us on our journey to automate the mundane and elevate the meaningful.

Pavan Sunkara
Founder, CEO

Don't spend time on writing boilerplate code for new features.

Don't spend time on fixing minor bugs that follow predictable patterns.

Don't spend time on updating dependencies to the latest versions.

Don't spend time on changing page copy on someone else's request.

Don't spend time on configuring tools across multiple projects.

Don't spend time on renaming variables to improve code readability.

Don't spend time on improving accessibility to meet standards.

Don't spend time on adding observability to monitor performance.

Don't spend time on tracking analytics to understand user behavior.

Don't spend time on localizing content for different languages.

Don't spend time on extending existing tests to cover edge cases.

Don't spend time on migrating code to new APIs or frameworks.

Instead,

Spend time on understanding user needs to create better products.

Spend time on building new features that delight users.

Spend time on designing intuitive interfaces that users love.

Spend time on architecting systems that scale effectively.

Spend time on optimizing performance to enhance user experience.

Spend time on solving complex problems that require deep understanding.

Spend time on innovating new solutions that push boundaries.