From Debugging to Deployment: Building BeazAtWork
Nobody talks about the debugging. They talk about the launch. The product. The vision. But the hours spent staring at an error message that makes no sense — that part stays mostly invisible.
“There is no ambiguity about what needs to get done.”
The moment a fix creates three new problems, the quiet satisfaction of a test that finally passes — this is what building BeazAtWork Job Analyzer actually looked like.
The unglamorous reality of solo product development
Building a SaaS product alone means wearing every hat at the same time. Product owner. Developer. Tester. Support. Marketing. There is no one to hand off to. No one to catch what you missed. Every decision lands on the same person.
That is also what makes it clarifying. There is no ambiguity about what needs to get done.
- FastAPI — backend
- PostgreSQL — database
- Clerk — authentication
- Stripe — billing
- Railway — deployment
- WordPress — frontend
What a debugging win actually feels like
There is a specific kind of satisfaction that comes from fixing something that has been broken for days. Not excitement. Not relief exactly. More like confirmation that the thing is real and it works and you built it.
One of the bigger wins during development was getting the JWT authentication flow working correctly between Clerk and the FastAPI backend. Getting the token to pass correctly, expire properly, and refresh without breaking the user experience took longer than it should have. When it worked, it worked quietly. No fanfare. Just a passing test and a working flow.
That is most of what shipping looks like.
Why it was worth it
BeazAtWork Job Analyzer exists because Ontario’s Bill 149 created a real gap. Employers needed a way to check their postings before going live. Job seekers needed a way to evaluate postings before investing their time. No tool existed for either.
Every debugging session was in service of that. Every fix made the product more reliable for the people who would use it.
What I used to build it
Claude, ChatGPT, and Copilot were part of the process throughout. Not as replacements for thinking, but as tools that made execution faster. This is what modern solo product development looks like. AI handles the repetitive, the boilerplate, and the research. The founder handles the decisions, the product thinking, and the judgment calls.
The product is live
BeazAtWork Job Analyzer is live at beazatwork.com. Free score, no account required to view your results. Built in Ontario, for every company hiring here.
