We're in an Exponential (www.augmentcode.com)

Recent developments in AI-driven software engineering have reached a pivotal moment, with senior engineers at Augment increasingly relying on AI agents to write the majority of their code. This marks a significant shift from agents merely assisting in coding tasks to taking on a dominant role in the software development lifecycle (SDLC). The combination of Opus 4.6 and GPT 5.2, along with Auggie's Context Engine, has enabled unprecedented levels of productivity, reflected in broader industry trends such as Ramp, which reports that 30% of its merged pull requests are now generated by AI. This exponential growth in AI capabilities signifies a turning point for the AI/ML community. Agents are evolving rapidly, with models expected to continue improving significantly over the next few years. Unlike previous technological adoptions, where improvements stemmed from increased usage, AI tools are fundamentally advancing in their abilities, suggesting a shift in the nature of software engineering itself. As organizations adapt to this new reality, critical questions arise regarding quality, human involvement, and how to navigate the rapid advancements. The focus now lies on understanding and leveraging these changes to define future best practices in development, prompting a collective inquiry into how teams can effectively embrace AI agents.