As generative AI models, especially large language models (LLMs) tailored for coding, continue to scale and evolve, the software development life cycle (SDLC) is on the brink of a major transformation. The disruption won’t come from the idea that machines will replace humans, but rather from the fact that many aspects of the SDLC are now perfectly suited for the integration of AI. In particular, LLMs are poised to reshape the way software is developed, with advancements in automation, communication, and decision-making playing a crucial role in this shift.
A recent whitepaper by Crowdbotics explores how a complete overhaul of the SDLC would look if AI were integrated from the outset. The paper makes bold assumptions about the future of coding, such as near-instantaneous and free code generation, natural language becoming the primary interface for programming, and humans transitioning from creators to verifiers. These assumptions lay the foundation for a vision where AI doesn’t replace developers, but enhances and refines their roles within the development process, making them more efficient and focused on higher-level tasks.
As AI becomes more embedded in the SDLC, its impact will go far beyond just automating the writing of code. The paper identifies five key areas where AI will influence the future of software development. First, the speed of development will increase dramatically, with the traditional two-week sprint model becoming obsolete. Development cycles will shorten, enabling faster releases and quicker feedback. Teams will also shift their roles, with humans taking on more of a supervisory and verification role, while AI handles much of the creation and implementation work.
The overall intelligence of the SDLC will evolve, with AI enabling automated knowledge capture and making it easier for teams to access critical information in real-time. Global development teams will form a relay, collaborating across time zones and regions, with AI facilitating seamless transitions of work. Lastly, the demand for software will surge, as AI enables the rapid development of solutions for an ever-expanding range of applications. This broadening of possibilities, both in terms of speed and scalability, will open up new opportunities for innovation and disruption, ensuring that the future of software development is full of potential.