A new wave of software efficiency is coming (simianwords.bearblog.dev)

A new era of software efficiency is on the horizon, driven by advancements in Large Language Models (LLMs). Historically, software engineering has seen a proliferation of resource-intensive applications, such as those built on Electron, leading to bloated and sluggish software experiences. While these tools have enabled rapid product development, they often compromised speed and resource utilization. LLMs are now positioned to address these inefficiencies, leveraging their capabilities to optimize software codebases significantly, potentially reducing resource consumption by as much as 40%. The significance of this development lies in the potential for LLMs to reshape the optimization loop in software engineering. By automating and refining the inner workings of applications—through tasks such as optimizing language, application, database layers, and web apps—LLMs can ensure that functionality remains intact while enhancing performance. This predictive shift indicates that by 2028, we could witness substantial performance improvements in consumer software as LLMs facilitate a continuous cycle of optimization and verification. The integration of AI in this capacity not only promises to revolutionize software efficiency but also encourages a more frugal approach to resource management in tech development.