Will AI-generated code be normalized in 2025?

Bill Doerrfeld | November 1, 2024

This story is in progress: I'm collecting input here.


Over the last two years, we've seen monumental promises around AI’s impact on developer productivity. Tools like GitHub Copilot are becoming ubiquitous, while OpenAI continues to push boundaries with groundbreaking features. Yet, the AI landscape is still a Wild West and must mature. We've witnessed the downsides of hallucination, questionable code qualitybloat & technical debt, copyright/IP restrictions, friction with data regulations, security issues with LLMs, confusion about what open-source AI is, and more. Not to mention the high energy and environmental costs of AI processing.


Valuable use cases with AI are still rare. Some analysts say the genAI bubble has popped, and some tech leaders are pulling the plug on major AI investments. There is also competing research on the actual productivity gains of using AI agents for code development. For consumer-facing AI-driven apps, "Disclaimer: results may not be accurate" is the saying of this age.


Despite this, there are signs of AI-generated code improving. Engineering leads are increasingly embedding it in development workflows, and developers are beginning to expect AI assistance. 2025 may be a breakout year for AI-generated code to become more stable, secure, and normalized. What will be done to get there?


I'm putting together a feature to discuss both the potential for widespread AI adoption and the practical steps necessary for overcoming current limitations. By forecasting these advancements, I hope to predict whether AI-generated code will truly be part of mainstream development by next year.


The deadline for submission is Friday, 11/15/24, 5 pm PST.


I’m looking for commentary from respected individuals in the software development field, offering practical examples (no product pitches). For efficiency's sake, I'll only be accepting input here on the below. I cannot guarantee the publication of any or all responses. Setting a maximum 1k characters (~150 words) per response. Looking forward to reading your thoughts!


This is probably for InfoWorld but may run elsewhere.


Form: Will AI-generated code be normalized in 2025?

Other Blog Posts

By Bill Doerrfeld July 7, 2026
Big surprise: it's way easier to generate new code with AI than to reuse old code. But what are the long-term effects?
By Bill Doerrfeld June 25, 2026
Agentic coding tools have become the default. "When we've taken that away accidentally from people, they scream."
By Bill Doerrfeld June 17, 2026
My latest for LeadDev considers how engineering leaders should respond in the wake of uncertainty in the AI model market.
By Bill Doerrfeld June 10, 2026
I'm working with Zuplo on some new content around their MCP Gateway release. First up: a deep comparison of MCP gateways on the market!
By Bill Doerrfeld June 10, 2026
The constant barrage of AI layoffs is overshadowing the economic reasons behind these cuts, as well as the net-positive talent redistribution happening at large.
By Bill Doerrfeld June 8, 2026
My latest for InfoWorld reviews MCP servers and agent-ready tools for connecting AI agents with popular database styles.
By Bill Doerrfeld May 29, 2026
For my latest DirectorPlus edition, Joel Carusone from NinjaOne shares how engineering leaders can build the muscle for making tough calls.
Close-up of a glowing laptop keyboard in blue light, viewed at an angle with the screen above
By Bill Doerrfeld May 25, 2026
My latest InfoWorld feature explores how Model Context Protocol (MCP) supports context engineering for AI-assisted coding.
A set of metal keys on a keyring resting on a wooden surface.
By Bill Doerrfeld May 22, 2026
My latest for Nordic APIs explores 10 API key security risks and what to use alongside keys for stronger API security.
By Bill Doerrfeld May 18, 2026
The yearly API conference, apidays New York, is a hotbed for solid discussion on what's top of mind in the API space, and as MC I had a front row seat.