Why are LLMs not a critical tool
in your SDLC workflow right now

AI integration in your SDLC

Your SDLC and deliverables are well-positioned for AI integration. Your team has deep and broad domain knowledge, which is essential for successful AI projects. Additionally, your agile workflows are conducive to the iterative and incremental nature of AI development.

The combination of AI and your team’s expertise has the potential to disrupt the standard agile workflows and accelerate product quality and value to market. In this session, we will demo a proof of concept that uses multiple LLMs to leverage AI where it is most pragmatic.

Benefits of AI integration

Increased efficiency: AI can automate many of the manual tasks involved in the SDLC, such as data entry and testing. This can free up your team to focus on more strategic tasks.

Improved quality: AI can be used to identify and fix bugs earlier in the development process. This can help to improve the overall quality of your products.

Accelerated time to market: AI can help you to shorten the time it takes to bring new products to market. This can give you a competitive advantage.
Conclusion

We believe that AI has the potential to revolutionize the way you develop software. In this session, we will demonstrate how you can use AI to improve the efficiency, quality, and time to market of your products.