The Case Against Grinding LeetCode (and What to Do Instead)

The standard interview-prep advice is some version of "grind LeetCode until it clicks" — pick a number, 100, 300, whatever feels serious, and work through it. It's not bad advice exactly. It's just aimed at the wrong target for a lot of people who follow it.

LeetCode problems are very good at one specific thing: pattern-matching a problem statement to an algorithm category. They're a much worse fit for the thing that actually trips people up day to day, which is writing ordinary code — a function, a class, a small feature — from a blank file, without a search engine, under mild time pressure.

What volume actually trains

Doing three hundred problems teaches you to recognize "this is a sliding window problem" or "this wants a hash map" fast. That's a real, transferable skill for algorithm-heavy interview rounds. It's a much narrower skill than "can write code fluently," and treating it as a stand-in for general coding fluency is where the grind stops paying off the way people expect it to.

The gap it doesn't close

The moment that actually derails people in interviews or on the job is rarely "I don't know the algorithm" — it's smaller and more mundane than that: forgetting the exact syntax for a language feature used weekly, fumbling basic list or string manipulation that used to be automatic, or freezing on a plain "write a function that does X" prompt that has no interesting algorithmic content at all. No amount of LeetCode volume touches that gap, because LeetCode problems are specifically selected to have interesting algorithmic content.

What deliberate practice looks like instead

• Practice the boring stuff on purpose. Loops, string manipulation, basic data structure operations, writing a function signature from a plain-English description. It's not exciting, and that's exactly why it gets skipped, and exactly why the freeze-up happens on it specifically.
• Practice across the language you actually use, not pseudocode. A lot of algorithm practice happens in a language-agnostic mental model. The muscle that actually needs training is producing correct syntax in your specific language, unassisted, which pseudocode-level practice never touches.
• Practice getting caught, not just getting the right answer. LeetCode tells you pass or fail. It doesn't tell you "this is Python syntax in a JavaScript file" or "you reached for the wrong list method for this language" — the specific, actionable feedback that actually fixes a habit instead of just confirming an outcome.
• Revisit things you've already solved. Volume-focused grinding treats a solved problem as done and moves on. A second, unassisted pass at something you solved a week ago tests retention in a way solving something new for the first time never does.

Volume isn't the enemy — it's the wrong metric

None of this is an argument against practicing a lot — it's an argument against measuring practice by problem count instead of by what's actually being trained. Three hundred algorithm problems and zero minutes spent on ordinary, unassisted, from-scratch coding leaves exactly the gap most people discover the hard way, in an interview room, when the stakes are already high.

SoloScript is built around that gap specifically — short, ordinary coding drills across the language you actually use, catching the syntax slip-ups and habit gaps a pass/fail algorithm judge was never designed to see.