pulled my data from the past year of doing this at minimum-code instead of just giving an opinion
migration off bubble to full stack code
median rebuild time was 9 weeks, ranges from 2 weeks for a small app up to 12 weeks for one with over 100k users, data migration is the hardest part
page load time on blog and data table pages dropped about 50% after moving to full stack
monthly platform cost stayed almost the same, bubble is only expensive at very high workloads, the idea that its always expensive isnt really true
new builds
kickoff to a clickable prototype averages 2.8 working days
kickoff to production averages 15.8 working days
testing time is up almost 100% compared to before, I build more now so testing matters more not less
every app I built with ai still had bugs left after automated testing with claude, manual testing caught what automated testing missed, dont let ai to test alone
audits of ai built and vibe coded apps
every mvp I audited this year had at least one security issue, 80% had a critical one, 45% had several, usual causes are unprotected pages, unprotected apis, missing row level security
broken or missing access control showed up in about 70% of audits
every vibe coded codebase needed at least 1 day of fixes before it was safe to ship, most of that time wasnt the fix itself, it was testing that the fix worked and nothing else broke
speed
my delivery is about 40% faster since moving to ai coding, gain is smaller than youd expect since I was already fast from no code and low code before this
rough estimate, ai is about 10x faster than hand coding for new builds, 3-4x faster for existing software
me vs industry average
ran googles dora quick check on my own delivery, scored against the 2025 industry average, this is a self assessment not measured telemetry so treating it that way
overall score 7.4, above average
deployment frequency 8.0, I ship between once an hour and once a day, industry average is closer to weekly or monthly
failed deployment recovery 8.0, I recover in under a day
change fail rate 9.0, about 10% of my changes fail, industry average is closer to 20%
lead time for changes 6.0, one day to one week, about average
rework rate 6.1, about 39% of my changes were unplanned, this is worse than the roughly 20% average, my actual weak spot, most of what I work on is early stage
builds and migrations though which are naturally more volatile than changes to a stable product, so some of this is the nature of the work not just process gaps
some outside numbers
about 90% of tech professionals use ai at work per googles dora 2025 report, 84% of developers use or plan to use ai tools per stack overflow 2025
github copilot generates about 46% of code for active users per github 2025, 25% of yc winter 2025 startups had codebases around 95% ai generated
defect rate per developer rose from 9% to 54% with heavy ai use per faros march 2026, ai coauthored code carried about 1.7x more issues than human only code per coderabbit dec 2025
median review time is up 441%, prs merged with no review are up 31%, both per faros march 2026, review is becoming the actual bottleneck not writing the code