Businesses today are under constant pressure to develop high-quality software and applications rapidly, while keeping costs under control. However, per a recent column in Forbes, 33% of developer time is spent on tech debt-related tasks versus working on new products and features. These tasks are usually mundane and time-consuming for the developers assigned to them, and may cause low motivation and add to high churn rates.
This is where technologies like Generative AI (Gen AI) can make a difference, opening up new possibilities for automating tedious coding tasks and adding capacity to development teams.
Gen AI coding led to a seismic shift in software development. It has propelled the emergence of coding assistance tools, some enhancing developer productivity with intelligent assistance, while others pioneer autonomous coding technologies. This points to a future where AI handles the bulk of coding, transitioning developers from coding tasks to strategic project oversight.
To capitalise on these advancements, Stride has introduced Stride Conductor, a novel solution that uses natural language to direct a team of LLM agents. These agents collaborate to develop, enhance, and test software in the user’s native development environment, essentially augmenting their team. Stride opted for a multi-agent approach because it allows for self-improvement through critique, better decomposition of large tasks, and the creation of inspectable, readable, and explainable code.
