When AI writes the software, who verifies it?
leodemoura.github.io
March 3, 2026
18 min read
Summary
Code Metal has raised $125 million to rewrite defense industry code using AI. Google and Microsoft report that 25–30% of their new code is AI-generated, while AWS has modernized 40 million lines of COBOL for Toyota using AI.
Key Takeaways
- Code Metal raised $125 million to rewrite defense industry code using AI, highlighting the increasing reliance on AI in software development.
- Google and Microsoft report that 25–30% of their new code is AI-generated, with predictions that 95% of all code will be AI-generated by 2030.
- Nearly half of AI-generated code fails basic security tests, and there is currently no formal verification process for the accuracy of AI-generated software.
- Poor software quality costs the U.S. economy $2.41 trillion per year, a figure that is expected to rise as AI generates a significant portion of new code.
Community Sentiment
MixedPositives
- The evolution of software development towards AI-assisted coding signifies a shift towards a more engineering-focused discipline, emphasizing oversight and structural integrity over manual coding.
- The decreasing marginal cost of code production suggests that AI can democratize software development, allowing more individuals and companies to innovate without the traditional barriers.
Concerns
- Despite advancements, AI-generated code often contains errors, highlighting the critical need for thorough code reviews and verification processes to ensure reliability.
- As AI becomes more autonomous in coding, the risk of producing untested and potentially flawed software increases, posing significant challenges for quality assurance.
Source
leodemoura.github.io
Published
March 3, 2026
Reading Time
18 minutes
Relevance Score
62/100
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