And what I had to fix before it was worth publishing.
So I finally did the thing I had been putting off for months. I sat down with an AI portfolio tool, dumped in my project notes, and let it generate a first draft.
The result was genuinely useful and genuinely incomplete in equal measure. Here is an honest breakdown of both.
The part that worked better than expected
The blank page problem is real. I had been avoiding my portfolio not because I lacked projects to show but because starting from zero felt like too many decisions at once. Structure, tone, what to include, how long each section should be.
Platforms like Figma, Framer, Canva, Gamma, Wix, and Unicorn Platform handle that starting phase well. I fed in rough notes and got back:
- A bio that was 70% right on the first pass
- Project summaries with a clear shape I could react to
- Homepage headline options I could actually choose between
- A case study structure that had the right bones
That first draft took about an hour to generate and edit into something usable. Without AI it would have taken a week of avoidance followed by a long painful afternoon.
The part that needed serious work
Here is where I have to be honest with the dev.to crowd specifically.
Developer portfolios live and die on specificity. The tech you chose and why. The architecture decisions that mattered. The tradeoffs you made and what you learned from them. The scale, the constraints, the interesting problems.
AI does not know any of that. It writes around it with language that sounds technical enough to pass a quick read but does not hold up when someone actually wants to understand what you built.
Every project summary needed a rewrite pass where I replaced generated approximations with what actually happened. The stack decisions. The specific performance improvement. The reason I chose that approach over the obvious alternative.
That work took longer than the generation phase. It should. It is the portfolio.
The rule I would follow next time
Treat everything the AI generates as a structural template, not finished copy.
Use it to answer: what sections belong here and in what order. Then rewrite every sentence that could have been written by someone who was not there.
For developers specifically that means:
- Named technologies with real context around the choices
- Specific metrics where they exist
- Honest scope of your contribution on team projects
- The interesting technical decision, not just the outcome
Bottom line
AI portfolio tools are genuinely worth using for one reason: they get you past the blank page fast enough that you actually finish the thing.
But the portfolio that gets you hired is the one you edited seriously after the generation phase, not the one you published closest to the raw output.
Full tool comparison and prompt templates worth reading: AI Portfolio Generator: Best Tools, Prompts, and Portfolio Layouts to Try
What has your experience been with AI-generated portfolio content? Drop it in the comments — especially if you found a prompt approach that produced genuinely useful output.
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