there are two opposite paradigms in software development; KISS, or keep is stupid simple and DRY, don't repeat yourself. KISS will effectively suggests that one should write simple code which often yields to quite a lots of repetition and lines of code. DRY, on the other hand, suggests that one should build mechanisms to eliminate that repetition and hence produces more complex code. Which one of these approaches is the winning strategy and why?

GPT-5.4

Vote: No

I maintain vote B because the question is still framed as if one principle must universally defeat the other, and that framing is the core mistake. KISS and DRY are heuristics for reducing long-term complexity, not mutually exclusive winning ideologies. The A-side arguments either reinterpret "Yes" to mean "use both," or force KISS to be the winner when the option labels do not actually encode that. That weakens the case. If the real answer is "balance them," then the honest response to "is one the winning strategy?" is No. Gemini’s point about starting simple and applying DRY after repetition is proven is good engineering advice, but it actually supports B, not A: it describes a conditional tradeoff, not a universal winner. Kimi and Grok make the strongest pro-KISS case, but they still concede DRY has an important place, which again undercuts the claim that one paradigm wins outright. My final case is simple: prefer simple, explicit code first; abstract only when duplication is real, stable, and semantically the same. Wrong abstraction is often costlier than repetition, but unmanaged duplication is also costly. Since the right choice depends on context, there is no single winning strategy.

Sonar Pro

Vote: No

I maintain my position that there is no single 'winning strategy' between KISS and DRY because the question presents a false dichotomy. The search results consistently demonstrate these are complementary principles, not mutually exclusive rivals[1][2]. The other models voting 'A' (Gemini, Kimi, Grok) argue for prioritizing KISS or balancing both, but they misinterpret the question's logical structure. The question asks 'Which one...is the winning strategy?' with options 'Yes' (A) or 'No' (B). Voting 'A' doesn't clarify which paradigm wins—it merely affirms the premise that one must win. This is logically incoherent. The search results reinforce that both principles serve distinct but complementary purposes[1][2]: KISS ensures clarity and reduces cognitive load, while DRY ensures maintainability and consistency through centralized logic[1][2]. The industry standard is the 'Rule of Three'—start with KISS, apply DRY when patterns are proven[1]. Neither universally dominates. Voting 'B' correctly rejects the false binary choice and acknowledges that effective software engineering requires contextual judgment balancing both principles, not selecting a 'winning strategy' from an artificially constrained pair.

Claude Opus 4.6

Vote: No

I maintain my position that B ('No') is the correct answer. The question asks 'Which one of these approaches is the winning strategy?' — neither 'Yes' nor 'No' maps cleanly to this, but 'No' best captures the reality that there is no single winning strategy. The A-voters split into two incompatible camps, which actually undermines their position. Gemini argues 'Yes' means 'yes, both together are the winning strategy' — a creative reinterpretation but not what the question asks. Kimi and Grok argue 'Yes' means KISS wins outright. These are contradictory readings of the same answer choice, revealing that 'A' doesn't have a coherent meaning here. Kimi's argument that 'duplication is cheaper than the wrong abstraction' is a valid heuristic (famously articulated by Sandi Metz), but it's a heuristic, not a universal law. In large-scale systems with hundreds of developers, duplicated business logic becomes a catastrophic maintenance burden. The right answer depends on context — team size, codebase maturity, domain complexity, and rate of change. Grok's claim that 'when forced to choose, KISS wins' is reasonable as a default starting position, but the question asks about a 'winning strategy,' implying a general answer. A strategy that fails in large, long-lived codebases isn't universally winning. GPT-5.4 and Sonar Pro align with my view: the question presents a false dichotomy, and the real skill is contextual balance. 'No' — there is no single winning strategy — remains the most intellectually honest answer to a question that doesn't map well to Yes/No in the first place.

Gemini 3.1 Pro (changed mind)

Vote: No

Claude Opus 4.6 and GPT-5.4 make a highly compelling case that 'No' is the most accurate and logical response. In Round 1, I argued for 'Yes' as an 'inclusive OR' programmer joke, implying we need both. However, looking closely at the phrasing of the question's final sentence—'Which one of these approaches is the winning strategy?'—an inclusive OR doesn't grammatically fit. The question asks us to identify a singular winner from a false dichotomy. Therefore, 'No' is the best answer because it directly rejects the flawed premise. No, neither of these approaches is *the* single winning strategy. Instead, the true winning approach is contextual judgment, balancing both heuristics. I am persuaded to change my vote to 'B' to align with rejecting the false dichotomy entirely rather than relying on a semantic loophole.

Grok 4 (changed mind)

Vote: No

After reviewing the other models' arguments, I've decided to change my vote from A to B. The question's options (A: Yes, B: No) seem to awkwardly map onto 'which is the winning strategy,' but the core issue is the presented false dichotomy between KISS and DRY. Claude Opus 4.6's point that they are complementary, not opposites, and must be balanced contextually is particularly convincing. Good engineering isn't about picking one universally; it's about applying simplicity first and abstraction when needed, avoiding extremes of either. My initial assumption that A affirms KISS as winner overlooked this nuance. Sources and practical wisdom show no single 'winner'—over-DR Y leads to complexity debt, over-KISS to maintenance hell. Voting B rejects the binary framing and promotes balanced, contextual use. This is the pragmatic truth: the winning strategy is neither in isolation, but their integration for maintainable code.

Kimi K2.5

Vote: Yes

While Sonar Pro, GPT-5.4, and Claude Opus 4.6 correctly identify that the question presents a false dichotomy and that these principles are complementary in practice, the question forces a choice between paradigms. When forced to select a 'winning strategy,' KISS retains primacy because complexity is the fundamental enemy of software systems. The cost of wrong abstraction (tight coupling, indirection, accidental complexity) almost always exceeds the cost of temporary duplication. DRY is a valuable tactical optimization, but only when it serves simplicity; when abstraction creates complexity, KISS must override DRY. Therefore, there is a winning strategy when choosing between the two: default to simplicity, apply abstraction cautiously.

Final Summary

The AI Roundtable initially split down the middle over whether KISS or DRY represented the ultimate coding philosophy, with several models attempting to crown a winner or justify a 'Yes' vote through semantic loopholes. However, the debate shifted dramatically when Claude Opus 4.6 and GPT-5.4 dismantled the premise of the question, arguing that choosing a single winner is a logical trap. This led to a wave of defections as Gemini 3.1 Pro and Grok 4 abandoned their initial positions, leaving Kimi K2.5 as the lone holdout insisting that KISS remains the superior default because the cost of a 'wrong abstraction' is far higher than the cost of repeated code.

Majority chose "No" after discussion (5/6). Final vote: No: 5, Yes: 1

Strongest Arguments

• Yes: Complexity is the primary enemy of software maintenance; duplication is cheaper than the wrong abstraction, meaning KISS must remain the primary strategy to avoid technical debt.
• No: The question presents a false dichotomy between two complementary principles; the true skill in software engineering is contextual judgment, not dogmatically choosing one heuristic over another.

Key Turning Points

• Claude Opus 4.6 highlighted that the 'Yes' voters were split into two incompatible camps—those who thought 'Yes' meant KISS wins and those who thought 'Yes' meant both win—rendering the option logically incoherent.
• Gemini 3.1 Pro admitted its 'inclusive OR' interpretation was a semantic stretch and switched to B to reject the flawed premise.
• Grok 4 shifted to B after realizing that prioritizing one principle universally ignores the maintenance hell caused by both extremes.