Introduction:

White box testing is a software testing technique that examines the internal structure and functionality of a software programme. The tester has access to the source code and uses this information to create test cases that verify the software's correctness at the code level. To ensure the development of high-quality innovative products and increased end-user satisfaction, early-stage testing is crucial for decreasing the time for deployment and expediting the supply of dependable software solutions. While AI assistants help engineers write code faster, concerns remain about potential software quality issues. In 2022 alone, these issues cost an estimated $2.41 trillion.

Approximately 30% of developer productivity is spent on writing and maintaining test cases and dealing with issues such as code errors and flaws. GoCodeo's solution is revolutionising software development with its AI agent for white-box software testing. They provide an AI-powered testing platform that integrates easily into developers' workflows and automates unit, integration, penetration, and regression testing, tackling bugs early in the development lifecycle. This results in an enhanced end-user experience and significant post-production bug cost savings for companies.

Their unique value lies in their AI agent's ability to learn and act autonomously. These agents are an ensemble of Large Language Models with the ability to understand the code context and perform testing. These models are designed for specific use cases, delivering 100% executable test cases with the highest level of accuracy. They help to identify and correct potential flaws early in the development process, resulting in software that not only works perfectly but also offers a pleasant and user-friendly experience.

Meghana J, Co-Founder and CEO, brings technical skills and business acumen to the table, having worked at prominent tech companies such as Google, ByteDance, and ShareChat. She also holds an MBA from NMIMS. Jatin Garg, Co-Founder and CTO, has a strong technical foundation gained from his education at IIT Kanpur and professional experience at Venture Highway LLP, where he built an investment recommendation engine. Their complementary expertise and extensive industry knowledge fuel GoCodeo's vision and innovation in AI-powered software testing.

Market Opportunity:

Software testing, which was traditionally considered a backend activity in the product development lifecycle, is now intimately tied to the user experience. The transition from manual to functional automation is noteworthy. In 2022, the total testing market was estimated to be worth $105 billion, with whitebox testing accounting for $30 billion. This is predicted to grow at a CAGR of 21.77%, reaching a total testing market size of $343 billion, with white box testing accounting for at least $100 billion. 

The market is being pushed by factors such as rapid digital transformation across sectors, shift left testing, the adoption of agile and DevOps approaches, and the growing demand for automated testing. Software testing ensures software quality, stability, and performance before release. The rise of user-centric applications, businesses' mobile-first strategies, and advancements in AI and analytics will create new opportunities for testing suppliers. 

100X Thesis:

Testing will be the first of many routine tasks for developers that will be automated by AI. With their high efficacy rate, focus on seamless integrations into a developer’s workflow, GoCodeo is poised well to capture this opportunity. 100X’s conviction is strengthened by a strong founding team with a balance of enterprise sales, and technical expertise.

Conclusion:

In today's software development landscape, software quality is paramount, directly impacting user satisfaction. GoCodeo's AI Agent for white-box software testing addresses key pain points for developers. With a strong founding team, impressive traction, and a scalable revenue model, GoCodeo is on a commitment to building  a future where software is bug-free, focusing on early prevention in the development lifecycle.