From the Front Lines of Tech

Technical debt is not new, This weekend I went down the trail to read-up on its impact due to the increased throughput of code generation thanks to AI. Turns out AI code generation is a double-edged sword. Lightning-fast code creation can mask underlying architectural flaws, poor naming, and inadequate testing. Often creating more of the uncoordinated code.The right approach? Thoughtful AI integration that learns from existing code-bases, not blindly generating new code.

Some ideas on what to watchout for enterprise when starting new projects using emerging technology. This post talks about aspects of scoping, ownership and technology changes. Most of it is obvious but less commonly

Understanding the ability of an organisation to adapt to cross functional level changes

We are practically in year two of generative AI being in mainstream. Organisations are still figuring out a path to production where they can align the user delight with total cost of ownership along with getting a sizeable return on investment. This post talks about the pattern very prevalent to arrive at the outcome.

Having spoken to a lot of organisations keen on adopting AI at scale - the pattern for systems eventually breaking down is consistent. In this post I make a case for a role of a Chief AI Officer and also talk about how they can be most effective.