# The Case for Doing the Simplest Thing That Could Possibly Work, and Only More When Required
By IO Digest Desk
A software design essay revived one of engineering’s oldest pieces of advice and gave it a sharper edge: do the simplest thing that could possibly work.[16135]
The author’s target is a common design instinct among engineers, especially those excited by the range of infrastructure tools available to them. Instead of starting from the current system and the immediate requirement, many teams start by imagining the ideal architecture: highly scalable, elegantly decomposed, and prepared for every future scenario.[16135] The essay argues that this is backwards.
The alternative is not anti-engineering minimalism. The author says the hard part is deeply understanding the existing system and then selecting the least elaborate solution that fully addresses the real problem.[16135] In that view, great design often looks unimpressive from the outside because it avoids adding components, services, and abstractions unless new requirements genuinely force them into existence.[16135]
Several examples make the case concrete. For a Golang service that needs rate limiting, the first instinct might be to add persistent storage such as Redis and implement a leaky-bucket algorithm.[16135] That could work. But the essay asks whether the simplest workable answer might instead be in-memory counters, or even configuration in an edge proxy that already supports rate limiting.[16135] Only if those easier approaches fail the actual constraints should the team escalate to more infrastructure.[16135]
The author extends that logic into a general product-building strategy: start with the absolute simplest solution, then expand only when requirements change.[16135] The essay likens this to treating YAGNI as the dominant design principle, above many more fashionable rules.[16135]
Importantly, the source anticipates objections. One is that “the simplest thing” sounds like permission to ship hacks and accumulate a brittle mess. The author rejects that idea directly, arguing that hacks are often not simple at all because they add hidden complexity that future developers must remember forever.[16135] Proper fixes are difficult precisely because they require enough understanding to remove complexity instead of layering on another exception.[16135]
Another objection is definitional: simple for whom, and under what conditions? The author admits that engineers often disagree about simplicity.[16135] To work through that ambiguity, the essay offers an intuitive benchmark: simpler systems are often more stable if requirements do not change.[16135] If one design demands more ongoing work than another while solving the same problem, the lower-maintenance option is the better claim to simplicity.[16135]
The piece also uses well-known tools to show how underwhelming good design can look. It cites Unicorn as an example of a web server that achieves key guarantees by leaning on Unix primitives, and points to the standard Rails REST API as a powerful but boring pattern that gives many applications exactly what they need without theatrical architecture.[16135]
What makes the essay resonate is not the novelty of the slogan. It is the way it recasts restraint as expertise. Junior engineers often want to use every tool they know because complexity can feel like proof of seriousness. The author argues the opposite: mastery often appears still, not busy.[16135]
The supplied evidence supports a restrained but meaningful conclusion. This is an argument for disciplined escalation in software design. Add the database, queue, abstraction, or distributed system when reality demands it. Until then, the author says, a lot of excellent engineering consists of recognizing when less is enough.[16135]
