Why I Joined Sapient.ai

Omed Habib

July 5, 2023

Darkweb v2.0 public release is here

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What has changed in our latest release?

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All new features available for all public channel users

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Coding collaboration with over 200 users at once

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Real-time code save every 0.1 seconds

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I am ecstatic to embark on a new chapter with Sapient.ai, a venture focusing on the transformative role of AI in the modern software development stack. With a career spanning over a decade in software engineering before pivoting to marketing, my passion for the software development process has remained. As a product manager, I've played multiple roles across the development landscape, from introducing PHP, Node.js, and Python monitoring agents at AppDynamics to running Product Marketing at Harness.io and launching Tonic.ai, the premier Fake Data Company.

The transformative power of AI

The power of AI advancements across the technology sphere is undeniable, and it's becoming an integral part of the developer's toolkit, both as a feature to implement and as a tool for developers themselves. Neel Sundaresan, Vice President of AI and Cloud at Microsoft, made this point in his recent talk, emphasizing that AI can automate mundane manual tasks, freeing developers for more critical and creative endeavors.

AI has the potential to revolutionize the way software is created. AI-driven software development processes can be used to automate the development of software, from testing and debugging to code refactoring and optimization. By using AI, developers can reduce development time and cost, while increasing the quality of the code. AI can even be used to help create software that is more secure and reliable, and can be adapted to changing needs.

Choosing Sapient.ai

In joining Sapient.ai, my path was shaped by discussions, presentations, and articles, all pointing towards a future with AI woven into the fabric of software development. Daniel Knott, with his YouTube channel "Software Testing," predicted in a recent webinar that by 2026, 75% of large enterprises would be harnessing AI to enhance asset efficiency, streamline supply chains, and improve product quality. This bold prediction encapsulates the sea change in technology and business landscapes, with AI at the forefront of industry innovation.

The transformative role of AI in software engineering

AI's role in software engineering extends beyond offering benefits; it is poised to overhaul how we conceptualize and implement the software development cycle. Ilya Gandzeichuk, CTO of Softengi, discussed the transformative powers of AI in a Forbes article, highlighting tools like ChatGPT, Bing AI, Copilot, Tabnine, and Amazon CodeWhisperer. These tools empower development teams to accelerate app development, optimize code, and reshape software engineering principles.

Addressing bottlenecks in QA

Throughout my career, I've stayed attuned to engineers' challenges as they innovate the world. From performance monitoring to deployment, and data privacy, we've made great strides in alleviating most bottlenecks in the development process. However, one bottleneck has remained unchanged: the QA process. This is where Sapient.ai steps in, striving to revolutionize QA and remove existing bottlenecks. We intend to redefine QA from quality assurance to quality acceleration — to go from being an inhibitor of innovation to the enabler of it.

We intend to redefine QA from quality assurance to quality acceleration — to go from being an inhibitor of innovation to the enabler of it.

The key is to shift from a manual, linear process to an automated, concurrent process. By using deep code generation, Sapient.ai can help engineers augment their existing code with scalable unit tests, limited only by their speed of development.

The end goal is to help engineers deploy faster and with greater confidence and accuracy. By automating QA, Sapient.ai can make the development process more efficient and cost-effective while maintaining optimal code test coverage in even the most demanding of mission critical enterprise environments.

The Future of Software Development

The software engineering process is set for a paradigm shift, as envisioned by Gandzeichuk. The process will be split into two interlinked stages: creative and delivery, requiring intensive human-AI collaboration. This ethos aligns perfectly with Sapient.ai's mission to harness AI's transformative power in driving efficiency and excellence in software development.

Joining Sapient.ai was a decision rooted in my belief in the future of AI-driven software development. By 2026, AI is projected to be integrated into 75% of large enterprises, becoming a new standard rather than an optional addition.

It's a thrilling time to be part of this revolution.