Why listen
AI can be 99% accurate and still fail your business when the stakes are high enough.
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In this episode
- Why small AI errors compound into serious problems across complex tasks
- How automated testing catches what AI-generated code gets wrong
- Why moving faster with AI does not mean building better software
- How legacy system vulnerabilities are putting businesses at risk right now
About this episode
This week on Code x Connor, Connor Deeks and Dorian Smiley are joined by Codestrap founding partner and principal engineer Przemyslaw Nowak to discuss one of the biggest challenges in enterprise; AI reliability. As companies use AI to build software faster and automate more work, can they trust the job to be done correctly? From exploring how AI makes mistakes, and how those mistakes can add up across complex tasks, to why human checks are still important in getting the correct information. Additionally, Prezemyslaw shows and explains how Codestrap uses automated testing to catch and fix software issues, and the team discusses how security flaws in older systems can put businesses at risk.
Be sure to follow this channel for insights and perspective from industry leaders, and schedule a meeting with us through www.codestrap.com to learn more about our offering.
In this episode, we discuss:
→ Why 99% accuracy isn’t always enough for AI to be reliable
→ How small AI mistakes can add up across complex tasks
→ Why AI struggles to fix mistakes and finish tasks on its own
→ Why checking AI’s work is just as important as getting the right answer
→ How automated testing can improve AI generated code
→ Why human oversight is still important for large business decisions
→ Why building software faster doesn’t mean building it better
→ Why completing more engineering tasks doesn’t always lead to better business results
→ How pressure to adopt AI quickly can damage long term success
→ Why businesses need to focus on growth, rather replacement of workers
→ How Codestrap uses testing and feedback to find and fix software problems
→ How simulations can help AI make better business decisions
→ How security flaws in older systems are putting businesses at risk
→ How updating older systems can help improve security
Codestrap
Przemyslaw: https://www.linkedin.com/in/nowakprzemek/
Codestrap (X): https://x.com/Codestrap_ai
CodeStrap (LI): https://www.linkedin.com/company/codestrap
Codestrap (Substack): https://codestrap1.substack.com/
Codestrap (Medium): https://medium.com/codestrap
About Code and Connor
Code & Connor is where Connor Deeks and Dorian Smiley ask the questions most AI podcasts won't. Two founders — one strategist, one engineer — in honest conversations with executives, builders, and practitioners about what's actually happening at the intersection of AI and the enterprise.
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