Min Dev Time
Reported by candidates from Salesforce's online assessment. Pattern, common pitfall, and the honest play if you blank under the timer.
Salesforce's September OA included a problem called Min Dev Time with no obvious pattern hint. You're staring at a vague title and no worked examples. This is the moment candidates blank. StealthCoder is your safety net here. The problem likely involves optimizing time across some constraint. Read the full problem text carefully when you sit down. Look for whether you're minimizing latency, coordinating parallel tasks, or allocating resources. The title suggests a dev/team context, so think about work distribution or scheduling.
Pattern and pitfall
Without the full problem statement, the pattern could be greedy, dynamic programming, or even simulation depending on whether you're choosing tasks sequentially, breaking a problem into subproblems, or modeling a system step by step. The word 'dev' hints at a practical scheduling or coordination problem. Common Salesforce OA pitfalls: over-complicating the state space, not recognizing when a greedy choice works, or missing that you need to sort or prioritize first. When you read the full problem, identify the constraint immediately. Are you minimizing time given a budget, or time given dependencies. StealthCoder will read the exact problem and surface the pattern. For now, assume greedy sorting or DP optimization.
Memorize the pattern. If you can't, run StealthCoder. The proctor sees the IDE. They don't see what's behind it.
You can drill Min Dev Time cold, or you can hedge it. StealthCoder runs invisibly during screen share and surfaces a working solution in under 2 seconds. The proctor sees the IDE. They don't see what's behind it. Made by an engineer who treats the OA as theater. If yours is tonight, you don't have time to grind. You have time to hedge.
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Salesforce reuses patterns across OAs. Made by an engineer who treats the OA as theater. If yours is tonight, you don't have time to grind. You have time to hedge. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Min Dev Time FAQ
What if the problem is about scheduling tasks in parallel?+
Check if tasks have dependencies or if they run independently. Independent tasks often need greedy assignment (shortest job first, load balancing). Dependent tasks need topological sort or critical path analysis. Read the constraints first.
How do I know if this is a DP problem?+
Look for overlapping subproblems or optimal substructure hints. If the problem asks 'minimum time to do X given Y constraint', and you can break it into smaller versions of itself, DP is likely. If it's just choosing the best order once, it's greedy.
Is this problem still being asked in Salesforce OAs?+
Yes. Reported September 2024. Salesforce favors practical scheduling and optimization problems. Expect similar titles with vague wording. The real problem text is always clearer than the title.
What should I do in the first 2 minutes of reading this?+
Write down the inputs and outputs. Identify the constraint (budget, dependencies, capacity). Ask yourself: am I ordering, allocating, or simulating. Build a small example by hand. The pattern will become obvious.
What's the most common mistake on scheduling problems?+
Assuming you must use all resources equally or that time always decreases linearly. Often the answer is to focus resources on the critical path or to recognize that some tasks don't contribute to minimizing the total.