How an Investor’s Mindset Can Transform Your Software Engineering Decisions

Google CEO Sundar Pichai once said that the method matters more than the details. The author reflects on spending university days in the library, believing that more theory makes a better engineer, only to discover that top engineers often rely on an investor’s mindset rather than sheer theoretical knowledge.

The investor mindset includes three key elements:

Focus on work that can generate returns.

Calculate whether the effort is worth the time before deep R&D.

Consider the opportunity cost of people’s work.

1. When Will Your Work Pay Off?

In investing, the time value of money means that money now is worth more than the same amount later. Software projects also have a time value: delivering value sooner is more valuable.

For example, when Facebook executives warned that their Metaverse investment might not pay off for 15 years, the stock fell 50%.

Engineers should avoid projects whose returns lie far in the future, especially in migrations or system overhauls.

Why Migrations Are More Expensive Than You Think

From an investment view, a migration has guaranteed upfront costs but uncertain future returns. To ensure the payoff period isn’t overly long, consider a two‑year migration versus the benefits of two years later.

The rule of thumb: a project must deliver at least double the effort spent to be worthwhile. If a migration takes two years, it should save at least four years of work, meaning the break‑even point is after six years from the start.

Long migrations increase risks such as shifting business priorities, exit risk, and execution risk.

Is This Project Worth Your Time?

Warren Buffett said a company’s return depends more on the right business ship than on rowing efficiency. The same applies to software: choosing the right project matters more than coding details.

Before building, ask:

How easy is integration and maintenance if we buy a solution?

Is the product a core competitive advantage?

What are the total development costs?

Estimate project hours, multiply by an hourly engineering rate, and use that as a cost baseline.

Example: Buying vs. Building RecordJoy.com

The team considered purchasing RecordJoy for $12,000 or building it themselves, estimating two months (320 engineering hours) at $100/hour, i.e., $32,000. Buying was clearly cheaper, allowing the team to focus on paid features and reducing risk.

After months of work, RecordJoy generated $700 monthly recurring revenue and was later sold on Microacquire.

Example: Doma’s Migration from Heroku to Azure

Doma needed to move to Azure before an IPO, with a six‑month deadline. Contract issues with Heroku forced a tighter timeline; they completed the migration in eight days, leaving three days for testing, avoiding a multi‑million‑dollar loss.

Summary

Developing an investor mindset in software engineering—considering financial cost, return period, and opportunity cost—helps engineers make better technical decisions, saving time and money.

Key takeaways:

Assess financial cost.

Evaluate the payoff timeline.

Weigh the opportunity cost of the work.