Okechukwu Anya

I am Okechukwu, founder of Jobzuma, a career planform that helps jobseekers navigate the job application process.

I came across friends and people who consistently bemoaned their inability to secure a new role for months though they believed they had followed the rules. Most of the disillusionment was from the fact that they got rejection emails barely seconds after applying. Others decried how they bombed their interviews. The whole story was also part of what I had experienced as well. Most people do not know how to improve their career.

Those are the pain points Jobzuma solves.

The available tools in the market are designed to focus on a specific area of the application process. For example, resume builder or ATS optimization, another tool for interview preparation and yet a different tool for LinkedIn optimisation making users navigate through separate tools.

I keep coming back to this idea: vibe code is basically instant legacy code.

Not because AI-generated code is necessarily bad, but because it often puts us in a familiar situation: the system works, yet no one fully understands how it works. That makes me wonder whether some of the most useful techniques for vibe coding are actually techniques we already use for legacy systems. For example:

• Snapshot / approval tests: capture the current output and require explicit approval when it changes.

• Characterization tests: describe what the system actually does today, regardless of what it was originally intended to do.

• Golden master tests: run known inputs through the system and compare the results with a trusted baseline.

• Contract test: protect the boundaries between components, services, APIs, events, and data stores.

• Differential testing: compare two implementations and detect where their behavior diverges.

• Test carving: observe a larger execution and extract smaller, focused regression tests from it.