@la1nra: Great writing! We are rediscovering the 100 year-old Statistical Process Control (SPC) where manufacturing stopped tryi…
Summary
The article discusses rediscovering Statistical Process Control (SPC) from manufacturing and applying it to code generation and review in software development, emphasizing process control over inspection.
Similar Articles
@addyosmani: If you're building a software factory, code good enough to ship still needs human taste and ownership. You'll likely ne…
The article discusses the importance of human taste and ownership in automated software development, emphasizing the need for human oversight in design and quality checks while balancing automation with manual review.
@svpino: Instead of reading your AI-generated code by hand, spend time on a plan to verify that your system is working as intend…
The article promotes using Replay QA for automated testing of web applications, especially for AI-generated code, highlighting its ease of use and features like continuous QA and root-cause analysis.
@svpino: If you are reviewing 100% of your AI-generated code by hand, you aren't moving fast enough. It's just impossible. Revie…
The tweet argues that manually reviewing all AI-generated code creates a bottleneck and links to a resource for a better approach.
When code is abundant (31 minute read)
The blog post argues that as AI makes code production abundant, the primary constraint in software development shifts from writing code to trusting and governing it, necessitating architectural changes in enterprises.
The Power of Ten: Rules for Safety Critical Coding
A NASA/JPL researcher discusses the ineffectiveness of traditional coding standards and introduces 'The Power of Ten' rules to prevent defects in safety-critical software through simplicity and metrics-driven practices.