𝗢𝘃𝗲𝗿𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 ⚠️
Sharing this as a personal learning—𝘁𝗿𝗮𝗱𝗲-𝗼𝗳𝗳𝘀 𝗮𝗹𝘄𝗮𝘆𝘀 𝗱𝗲𝗽𝗲𝗻𝗱 𝗼𝗻 𝗰𝗼𝗻𝘁𝗲𝘅𝘁, and I’ve gotten this wrong before too.
Not everything is overengineering; what matters is the situation, timing, and actual needs at that moment. 𝗪𝗵𝗮𝘁 𝗳𝗲𝗲𝗹𝘀 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝘆 𝗶𝗻 𝗼𝗻𝗲 𝗰𝗼𝗻𝘁𝗲𝘅𝘁, 𝗺𝗶𝗴𝗵𝘁 𝗯𝗲 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗰𝗮𝗹𝗹 𝗶𝗻 𝗮𝗻𝗼𝘁𝗵𝗲𝗿.
Early-stage systems 𝗿𝗮𝗿𝗲𝗹𝘆 𝗳𝗮𝗶𝗹 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝘀𝗰𝗮𝗹𝗲.
They fail because of 𝗼𝘃𝗲𝗿𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴.
𝗖𝗼𝗺𝗺𝗼𝗻 𝗽𝗶𝘁𝗳𝗮𝗹𝗹𝘀:
• Adding Queues too early
• Splitting into 𝗺𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 before it’s necessary
• Designing for 𝗺𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝘂𝘀𝗲𝗿𝘀 before the first one
The smarter approach is to 𝘀𝘁𝗮𝗿𝘁 𝘀𝗶𝗺𝗽𝗹𝗲:
• 𝗠𝗼𝗻𝗼𝗹𝗶𝘁𝗵 𝗳𝗶𝗿𝘀𝘁 — keep it coherent
• 𝗖𝗹𝗲𝗮𝗿, 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗹𝗼𝗴𝗶𝗰
• 𝗠𝗶𝗻𝗶𝗺𝗮𝗹 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗶𝗲𝘀
Scale 𝗼𝗻𝗹𝘆 𝘄𝗵𝗲𝗻 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝗮𝗻𝗱 𝘁𝗿𝗮𝗳𝗳𝗶𝗰 𝗱𝗲𝗺𝗮𝗻𝗱 𝗶𝘁.
𝗣𝗿𝗲𝗺𝗮𝘁𝘂𝗿𝗲 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 = 𝘄𝗮𝘀𝘁𝗲𝗱 𝗲𝗳𝗳𝗼𝗿𝘁 + 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝘆 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆.
Senior engineers focus on 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗻𝗲𝘀𝘀, 𝗰𝗹𝗮𝗿𝗶𝘁𝘆, 𝗮𝗻𝗱 𝘀𝗶𝗺𝗽𝗹𝗶𝗰𝗶𝘁𝘆 𝗳𝗶𝗿𝘀𝘁 — scaling comes second.
YAGNI (𝗬𝗼𝘂 𝗔𝗿𝗲𝗻’𝘁 𝗚𝗼𝗻𝗻𝗮 𝗡𝗲𝗲𝗱 𝗜𝘁)
The most direct match.
👉 Don’t build something until it’s actually necessary.
It 𝗽𝘂𝘀𝗵𝗲𝘀 𝗯𝗮𝗰𝗸 𝗵𝗮𝗿𝗱 against overengineering and premature abstraction.
To-Repeat - 𝗪𝗵𝗮𝘁 𝗳𝗲𝗲𝗹𝘀 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝘆 𝗶𝗻 𝗼𝗻𝗲 𝗰𝗼𝗻𝘁𝗲𝘅𝘁, 𝗺𝗶𝗴𝗵𝘁 𝗯𝗲 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗰𝗮𝗹𝗹 𝗶𝗻 𝗮𝗻𝗼𝘁𝗵𝗲𝗿.