Financial advisors who work with a particular client niche often face recurring planning questions that, in turn, require the same calculations or analyses for different clients each time they arise. It's often helpful to have software that can perform these analyses faster, more repeatably, and in the way the advisor wants; however, the economic reality of the technology industry is that it's only really viable to build, market, and sell a piece of software if it provides a solution that a lot of people are willing to pay for. Which means if the advisor is only one of a few people – or the only person – who needs that particular kind of software, they aren't likely to find that solution on the market unless they build it themselves.
Traditionally, many advisors have built custom spreadsheets to handle these types of analysis for which an out-of-the-box solution doesn't exist, but those spreadsheets are often cumbersome and time-consuming to build, maintain, and debug. And while custom-built web apps can perhaps do the job more reliably, they've historically required the advisor to either be an expert in programming languages such as Python or JavaScript, or to hire a developer to build it for them.
More recently, however, it's become possible to build custom software programs without coding expertise using certain types of AI tools – a process popularly known as "vibe coding". At a high level, using vibe coding tools like Replit, users can essentially tell an AI bot what type of tool they want to build. The AI then handles all the code and back-end infrastructure needed to develop a working product. The user can then test the program and iterate with the AI bot to resolve any issues until the final version is ready.
One advantage of vibe coding is that you can start small to build familiarity. Advisors can experiment with simple tools and calculators – which can often be created using the free tiers of vibe coding tools like Replit – while they get comfortable with the process of iterating back and forth with the AI bot to improve the software. Once they've reached a baseline level of comfort, they can upgrade to paid tiers that allow for more complex or comprehensive tools, while potentially adding steps like 'wireframing' (i.e., creating a basic visual guide to the software before building the full-blown version) to help plan out particularly advanced software in advance to avoid problems that would need to be worked out after the fact.
The key point is that although there is a learning curve to vibe coding, it's not nearly as steep or time-intensive as learning traditional programming languages. What matters most for advisors who vibe code is their own financial planning expertise and their ability to communicate, since those are the main skills needed to 'converse' with an AI bot that can handle the technical development capabilities. Ultimately, then, vibe coding has the potential to provide a lot of value for expert advisors in highly niche fields – since they already have the expertise to develop the tools they need, and will no longer be reliant on off-the-shelf software solutions to build the exact tools to help them serve their clients' needs!





