Perfection Is Not Over-Engineering
The author argues that "over-engineering" isn't about striving for perfection but rather about solving the wrong problem, driven by misaligned requirements. This perspective challenges common industry caution against "perfect solutions," repositioning perfection as the natural outcome of clearly defined constraints. The Hacker News community actively debates these nuanced definitions, reflecting on the practical realities of software development and the constant tension between ideals and delivery.
The Lowdown
The article "Perfection Is Not Over-Engineering" redefines the commonly conflated terms "perfection" and "over-engineering" in software development. Author var0xyz argues that "over-engineering" is fundamentally about solving the wrong problem, not about excessive quality or care, and that a "perfect" solution can exist when requirements are exceptionally clear.
- Reclaiming "Perfection": The author states that a perfect solution arises when a very clear and tight set of requirements and constraints leaves only one possible, fitting solution. This perfection is context-dependent, like choosing Python for a serverless project versus a performance-critical one.
- Over-Engineering as "Solving the Wrong Problem": The core thesis is that over-engineering isn't about making something "too good" or "caring too much," but about misidentifying or misinterpreting the problem at hand, often leading to incidental complexity.
- Systems as Products: The article asserts that all systems, including internal tools, libraries, and APIs, should be treated as products with users and their specific needs. A failure to understand these "product" requirements is often the root of over-engineering.
- Identifying Over-Engineering: A key indicator is when one questions the rationale behind a system's design and finds answers that don't hold up, such as a small team managing too many microservices without a clear benefit outweighing the added complexity and integrity loss.
- The Root Cause: Ultimately, over-engineering is diagnosed as a failure in requirements gathering or "product engineering." When requirements are precise and all constraints are on the table, the truly perfect solution becomes evident.
The author concludes that perfection isn't the enemy; ambiguous requirements are. By rigorously defining needs and constraints, developers can achieve optimal solutions without succumbing to the pitfalls of misdirected engineering effort.
The Gossip
Perfection's Peril and Practicality
Commenters vigorously debate the author's redefinition of "perfection" and "over-engineering," with many agreeing that focusing on *the wrong problem* or *non-existent constraints* is key to over-engineering. However, some challenge the notion of a "perfect" solution ever existing due to evolving requirements and inherent tradeoffs, arguing that "good enough" is often the practical goal. The common adage "perfect is the enemy of good" is scrutinized, with some seeing it as a shortcut to justify low quality, while others view it as a necessary pragmatism in a dynamic world. The distinction between "perfection" (a defined optimal state) and "perfectionism" (anxiety-driven endless tweaking) is also drawn.
Requirements' Realm and Realities
A significant portion of the discussion centers on the fluid and often unknowable nature of requirements. Many agree that over-engineering stems from poor requirement gathering or understanding. However, they emphasize that real-world requirements are rarely static or fully clear upfront, especially for new products, often necessitating an iterative "build and learn" approach. This dynamic environment makes the author's idea of "tightening constraints" to a single perfect solution seem idealistic to some, who prioritize flexibility and adaptation over initial prescriptive perfection.
Products or Pure Tools
The author's assertion that "systems are products" sparks a contentious debate. One side argues that a "product mindset" is inherently toxic, driven by profit motives that can conflict with user goals, advocating instead for software as "tools" built by users for users, exemplified by open-source projects. The counter-argument suggests that a product mindset isn't inherently bad but depends on where a product is in its lifecycle, and that simply demanding "better products" is a more constructive approach than rejecting the product concept entirely.
Complexity's Conundrums
Commenters explore various dimensions of complexity in relation to over-engineering. Distinctions are made between "over-complicated" (too many features/mechanisms) and "over-engineered" (exceeding requirements unhelpfully, like building a concrete treehouse). The discussion also touches upon "essential complexity" (inherent to the problem) versus "accidental complexity" (introduced by poor choices, e.g., misapplied microservices), highlighting that minimizing accidental complexity is key. The role of experience and intuition in navigating these complexities is acknowledged.