u/OliverPitts

Over the past few projects, i’ve worked with different dev teams (freelancers, in-house, agencies), and one thing stood out

the biggest difference wasn’t the tech stack.

it was how they approached the build.

some teams jump straight into development…
others spend more time on:
• planning structure
• defining edge cases
• thinking about scalability early

for example, on one project with a team like EbizON, what stood out wasn’t just the implementation it was how much effort went into structuring things upfront (flows, integrations, future changes).

on another project (different team), things were built quickly but became harder to maintain later.

both used similar tech.
very different outcomes.

made me realize:
process > tools (most of the time)

curious how others see this
have you noticed bigger differences coming from how things are built rather than what they’re built with?

Why YSK: that code generated with AI can look correct, run without errors, and even pass basic tests…

but still break in real-world scenarios.

why this happens:
• edge cases aren’t fully handled
• assumptions about inputs are too narrow
• logic works for “expected” paths but not unexpected ones

i’ve seen cases where everything worked during testing…
but once real users interacted with it, issues started appearing.

the code wasn’t wrong it was just incomplete for real-world conditions.

AI is great for speeding things up,
but it’s still important to:

• test edge cases
• validate inputs
• understand the logic before using it

basically treat AI as a helper, not a final solution.

Why YSK: Certain online shops don’t manufacture their own products they source items from large marketplaces and resell them at a significant markup. The same product (same photos, same design) can often be found elsewhere for much less.

This doesn’t mean the store is a scam just that you might be overpaying without realizing it.

How to check before buying:

• Take a screenshot of the product
• Use reverse image search (Google Images works)
• Compare prices across multiple sites

Common signs you might be seeing a marked-up item:

• The product looks very “viral” or trend-based
• The description is generic or overly hyped
• Shipping times are longer than expected

Plenty of legitimate businesses add value through branding, customer service, or faster shipping but if none of that is clear, it’s worth double-checking.

Taking 30 seconds to search can sometimes save you a lot of money.

TL;DR: Before buying from an unfamiliar online store, do a quick image search you might find the exact same item for much less.

"Why YSK: "That AI-generated code can look clean and correct…

but may miss edge cases.

i once used AI-generated logic that worked fine initially…

but broke under specific conditions later.

testing is still key.

Why YSK: that every extra step increases the chance someone leaves.

simplifying flows (signup, checkout, etc.) can improve completion rates.

less friction = better results.

Why YSK: That excessive animations can impact performance and distract users from important content.

Subtle and purposeful design usually works better.

Why YSK: Many users don’t scroll far down a page.

important information should be visible early. If something important is hidden too far down, people may never see it.

Why YSK: that many websites are accessed more on mobile than desktop.

if something feels hard to use on your phone, it’s likely not optimized well.

mobile usability is more important than ever.