March 19, 2026
Your code isn’t slow, your ego is
Your Framework Doesn't Matter
Developers are melting down after tests show your favorite web tool barely affects speed
TLDR: Real-world tests showed that the web framework — the tool many developers obsess over — is usually less than 1% of what makes a website feel slow, with bad database use and internet delay doing most of the damage. Commenters are roasting framework wars as pointless and confessing they’ve been optimizing the wrong thing.
The internet’s coder crowd is in full meltdown after one developer basically said: your precious web framework doesn’t matter. He built a real book app, measured every step from user to database and back, and found the shocking result: the fancy framework part is often under 1% of the total time. Cue chaos.
In the comments, one camp is screaming “I’ve been saying this for years!” and roasting endless speed charts as “benchmarks for people who never ship.” Another side is furious, defending their favorite tools like sports teams, insisting that if the framework is 2x faster in a lab, it has to matter. Someone summed it up as: “So the villain wasn’t Python, it was my terrible database queries all along.”
Jokes are flying. People confessing their apps are secretly the “N+1 horror show” (a classic database mistake that turns one request into hundreds) are calling the chart “my career in one graph.” Framework fanboys are being teased as “micro-benchmark enjoyers,” while others admit they spent weeks switching tools for a speed boost users will literally never feel across the internet. The community vibe? Half therapy session, half roast battle, with one brutal message: your bottleneck isn’t your framework, it’s… you.
Key Points
- •The author built and deployed a real FastAPI + SQLAlchemy + asyncpg + Uvicorn book catalog API to measure end-to-end performance instead of relying on localhost framework benchmarks.
- •Four endpoints were tested, including a health check, a single-book query, a 100-book optimized query using selectinload, and an N+1 version issuing 302 queries.
- •Instrumentation with time.perf_counter and SQLAlchemy events separated database driver time, ORM overhead, serialization, and framework overhead, with network time derived from client round-trip measurements.
- •Results showed that for realistic endpoints, the framework accounts for only about 2–4% of server time and roughly 0.2–0.9% of total response time, while database and ORM work dominate server-side latency.
- •An intentional N+1 query scenario increased server time from about 30 ms to 492 ms for the 100-book endpoint, illustrating the large impact of query design compared with framework overhead.