Study reveals growing technical debt in AI age
Bill Doerrfeld | February 19, 2025
The alarms are starting to sound about declining code quality in the AI age.
The 2nd annual code quality report from GitClear analyzed 211 million changed lines of code and found 10x more duplicated code than two years ago and fewer signs of code reuse than ever before. Check out my full analysis, published today on LeadDev.
I covered this study the first year it was conducted, in 2024 for DevOps.com. I think the quantitative data finally proves what many of us have been hearing anecdotally. There are gaps in AI-generated code, at least for now.
Getting into why AI-generated code isn't good enough, and how we can improve, is an area I plan to cover with a broader feature story soon — stay tuned!
I recently moderated a webinar that brought together three luminaries in the API community to discuss the importance of API standards in agentic AI development.
The more folks use MCP servers in development, the more they’re realizing it can lead to runaway token usage, unpredictable response sizes, and flooded context windows.
Who really benefits from AI coding tools? New research suggests AI amplifies existing top performers more than average developers. Read my post on LeadDev.
Many say edge computing will enable the future of AI inference. For InfoWorld, I looked at the tech required, and the roadblocks to overcome to get us there.
Survey data from Zuplo finds rising MCP adoption, security concerns, and shows how developers are using MCP servers to connect AI with APIs in 2026.
Blockchain for everything, metaverse, big data, NFTs... In hindsight, what were we thinking? Today, I call out some of tech's biggest overhyped trends on InfoWorld.
Like any production software application, AI agents are producing a spectrum of metadata behind the scenes. Some are calling agentic metadata a “gold mine” to direct continual improvements.
My latest DirectorPlus column with LeadDev interviews Bedrock Robotics' CTO, Kevin Peterson, on what it takes to develop highly adaptable and safe autonomous machines.
I explore some tips to help speakers craft solid pitches. The Nordic APIs speaker selection committee looks for these sorts of things, but the tips could apply to any tech event.
I made 10 predictions on how AI and APIs will converge in 2026. Signs point to AI agents being the next big API consumer.
