Spaced Repetition for Coding Interviews: The Complete Guide
How to apply the most effective learning technique to algorithm study. Stop relearning the same concepts.
Spaced repetition is the most effective learning technique ever discovered. Medical students use it to memorize thousands of facts. Language learners use it to acquire vocabulary. Yet almost no one applies it to coding interview prep.
This guide explains exactly how to use spaced repetition for DSA study, whether you build your own system or use an existing tool.
What Is Spaced Repetition?
Spaced repetition is a learning technique where you review information at increasing intervals. Instead of reviewing everything every day, you review each item exactly when you are about to forget it.
The Science: Ebbinghaus and the Forgetting Curve
In 1885, German psychologist Hermann Ebbinghaus discovered the forgetting curve. His experiments showed that without reinforcement, we forget roughly 50% of new information within an hour, and nearly 80% within a week. However, each time you successfully recall something, the curve flattens. The memory becomes more durable.
This is why traditional cramming fails for coding interviews. You might memorize the Two Pointers technique on Monday, but by Friday your brain treats it as noise unless you have reinforced it. (Sound familiar? We explore this problem in depth in Why Do I Keep Forgetting LeetCode Solutions?)
Spaced repetition is engineered to exploit this biology. By scheduling reviews right before you would forget, it converts fragile short-term memories into durable long-term ones with minimal total review time.
The animation below visualizes how the SRS algorithm schedules reviews. Notice how the intervals grow exponentially as memory strengthens:
Your Daily Review Queue
The SRS system shows you cards due for review. Today: Two Pointers is due.
The intervals grow exponentially. If you remember something correctly:
If you forget, the interval resets and starts small again. This ensures you spend time on what you actually need to review, not what you already know.
Why It Works
Spaced repetition exploits two cognitive principles, both of which have been validated by decades of research in cognitive psychology:
The Testing Effect (Active Recall)
Attempting to recall information strengthens memory more than passive re-reading. Every time you try to remember a pattern, you reinforce it. Studies by Roediger and Karpicke (2006) showed that students who practiced retrieval retained 50% more information a week later than those who simply re-read material.
The Spacing Effect
Memory is strengthened more by spaced study than massed study. Reviewing once per day for 5 days beats reviewing 5 times in one day. This phenomenon was first documented by Ebbinghaus and has been replicated in hundreds of studies since.
The SM-2 Algorithm
Most modern SRS tools, including Anki, use a variant of the SM-2 algorithm, developed by Piotr Wozniak in the late 1980s. The algorithm tracks your performance on each card and adjusts the review interval accordingly:
- If you answer correctly and easily, the interval increases (e.g., 1 day to 3 days to 10 days).
- If you answer correctly but with difficulty, the interval increases more slowly.
- If you answer incorrectly, the card resets to a short interval (starting nearly from scratch).
This adaptive behavior is what makes SRS so efficient. You are not wasting time reviewing things you already know well. Your study time is allocated precisely where it is needed.
How to Apply SRS to DSA
Option 1: Anki or Similar App
The most common approach is using a flashcard app like Anki. Create cards for each pattern or problem you learn:
Example Card: Two Sum Pattern
Front (Question)
How do you find two numbers in an unsorted array that sum to a target in O(n) time?
Back (Answer)
Use a hash map. For each number, check if (target - num) exists in the map. If not, add the current number to the map.
💡 Pro Tip: Keep Cards AtomicEach card should test exactly one concept. If you ask "How to solve Merge Intervals?", the answer is too long. Break it down: "How do we sort intervals?", "What is the condition for overlap?", etc. Atomic cards are easier to review and harder to misunderstand.
Anki Setup Best Practices
- Syntax Highlighting — Install an add-on like "Syntax Highlighting for Anki" to make code readable.
- Limit New Cards — Set "New cards/day" to 10. Adding 50 cards a day leads to burnout in week 2.
- Honest Ratings — If you hesitated, press "Hard". If you got it wrong, press "Again". Don't lie to the algorithm.
Option 2: Problem Re-Solving Schedule
Instead of flashcards, you can schedule full problem re-solves:
- Solve a problem for the first time
- Re-solve it from scratch 1 day later (no peeking)
- Re-solve 3 days after that
- Re-solve 1 week after that
- Re-solve 2 weeks after that
Track your schedule in a spreadsheet or use a tool like LeetCode's favorite list with date annotations.
Option 3: Integrated Learning Platforms
The ideal solution is a platform that integrates spaced repetition directly into the learning experience, so you do not need to maintain a separate system.
What to Put on Cards
Not everything deserves a flashcard. Focus on high-value items:
Good Candidates for SRS
High Value
- • Pattern recognition signals
- • Core algorithm templates
- • Time/space complexity analysis
- • Edge cases for common patterns
- • Key data structure operations
Low Value
- • Exact problem solutions
- • Syntax details
- • Memorized code blocks
- • Problem-specific tricks
Real Example: Merge Intervals
❌ BAD CARD (Too Vague)
Q: How to solve Merge Intervals?
A: Sort by start time. Iterate through. If current.start < last.end, merge them by taking max of ends. Else add new interval.
Why it fails: It requires you to recite an entire algorithm. You will likely get "half" credit and mark it as "Hard", which ruins the scheduling.
✅ GOOD CARD (Pattern Only)
Q: What is the overlap condition for two intervals [a,b] and [c,d] assuming sorted by start?
A: c ≤ b
Why it works: It tests the *crucial logic*. If you know this, you can derive the rest of the code. It takes 2 seconds to review.
Common Mistakes
1. Making Cards Too Complex
A card should test one thing. If your answer takes 5 minutes to produce, the card is too complex. Break it into smaller pieces.
2. Not Actually Attempting Recall
Spaced repetition only works if you genuinely attempt to recall before seeing the answer. If you flip immediately, you are just reading, not testing.
3. Giving Up on Failed Cards
When you fail a card, that is actually good information. It tells the system you need more practice. Failed cards get scheduled more frequently.
The Time Investment
Once your SRS system is set up, daily reviews take about 15-30 minutes. This small daily investment compounds into massive long-term retention.
Consider the alternative: without SRS, you will inevitably forget. You will sit down to review "Sliding Window" before an interview and realize you have lost it. Then you spend an hour re-learning from scratch. This happens repeatedly, for every pattern. Over a 3-month prep cycle, you might waste 20-40 hours on this "relearning tax."
The Math
15 minutes per day × 30 days = 7.5 hours per month. That is less time than many engineers spend re-learning forgotten concepts. SRS pays for itself.
How TerminalTales Implements SRS
TerminalTales has spaced repetition built directly into the platform:
- Automatic scheduling — The system tracks your learning and schedules reviews automatically.
- Pattern-level cards — Reviews focus on patterns, not individual problems.
- Integrated experience — No need to maintain a separate Anki deck. Reviews happen inside the course.
- Active recall — Reviews require you to produce answers, not just recognize them.
Stop forgetting what you learn. Start using spaced repetition, and your knowledge will compound instead of decay.
Continue Learning
- How to Remember LeetCode Patterns — The specific patterns you should commit to memory.
- Why Grinding LeetCode Is Not Working — Why quantity without retention leads to failure.
- How to Study While Working Full Time — How to fit SRS into a busy schedule.
Master DSA with Story-Driven Learning
TerminalTales combines an immersive narrative with spaced repetition to help you actually remember what you learn. Start with 3 free chapters.
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