Do you think that AI-generated code will amplify existing problems, or solve them? (Thinking of technical debt, security issues etc.)

164 views4 Upvotes6 Comments

Executive Architect in Healthcare and Biotech, 10,001+ employees
AI-generated code has the potential to improve productivity, so long as controls are in place to fully vet the code for conformance to standards.  Code reviews, penetration testing will continue to be required.  However, there is also potential for intellectual property challenges associated with AI-generated code.  We have yet to see how the legal status and IP practices for AI-generated code will play out.
Chief Technology Officer in Media, 2 - 10 employees
The impact of AI-generated code on existing problems can be both positive and negative. To ensure its benefits are realized and potential drawbacks are mitigated, responsible development practices, ethical considerations, ongoing evaluation, and human oversight are essential.
Director of IT in Manufacturing, 5,001 - 10,000 employees
I think IA generated only can solve partial of organization problems
Global Head of AI, Data & Analytics in Software, 10,001+ employees
The implications of generative AI on your organization will be as positive / negative as your governance and policy. 
With no direction or policy, developers will each independently decide on:
- Where the lines for responsible and irresponsible usage of AI are, 
- What degree of automation / human oversight is acceptable
- Whether they care about bias, factual inaccuracies or hallucinations

With a well informed policy and governance you can ensure the developers are able to utilize the massive productivity gain, while also increasing quality of work without amplifying existing issues 
VP of Marketing & Solutions — Artificial Intelligence in Software, 10,001+ employees
I believe there multiple aspects to consider:
- Developer productivity: Generative AI will at a minimum accelerate development; get started on new projects more quickly, maybe optimize code, or probe it. I anticipate that AI won’t be 100% correct on the first attempt. So, there’s some human review/ tweaking/ debugging needed.
- Security: I would assume that it is no less secure than the code a developer creates.
- Technical debt: It could likely help you sweat the asset or have your existing developers run more projects.

It’ll be good to see more studies and benchmarks on this over time — beyond the hypotheses how it *should* work and the assumptions what it *will* enable…
Senior Director Engineering in Travel and Hospitality, 10,001+ employees
Like any copy-paste of code, the probability of faster distribution becomes higher. Considering its AI, the probability of fixing it faster too is higher!

Content you might like

CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.
Read More Comments
40.7k views131 Upvotes319 Comments

Limited environment/Infrastructure resources32%

Inability to quickly identify the root cause of CI/CD pipeline failures45%

Lack of standardized CI/CD pipeline templates across the organization54%

Integrating security tools - inefficient security implementation leading to false positives38%

Poor communication across business and product teams/coordination challenges26%

Cost/resource management26%

Implementation of CI/CD into on-going projects and workflows22%

Internal resistance: training issues, culture, etc.14%

Inefficient implementation of CI/CD due to lack of expertise, poor training, etc.19%

Poorly written unit and acceptance testing9%



We are not doing regression testing10%

25% manual, 75% automated50%

50% manual, 50% automated27%

100% manual, 0% automated8%

Don't know2%


1.6k views3 Upvotes2 Comments