If you are wondering how to prepare for a coding interview without grinding 600 random LeetCode problems and still freezing on interview day, this guide is for you. Coding interview prep in 2026 is less about volume and more about pattern recognition, deliberate practice, and verbal communication. Below is a realistic, week-by-week study plan—covering the DSA topics that matter, the LeetCode patterns that show up repeatedly, and how to practice so the knowledge actually sticks under pressure.
This plan assumes you have a job or a degree to juggle, so it is built around roughly one to two focused hours a day. Adjust the timeline up or down based on your starting point and target companies.
Before building a study plan, figure out where you stand. Spend one session attempting three problems: one Easy array problem, one Medium string or hash-map problem, and one Medium tree problem. Be honest about the outcome:
Matching the plan to your level is the single best way to avoid both under-preparing and burning out.
You do not need to know every exotic algorithm. The overwhelming majority of coding interview questions draw from this core set:
| Category | What to master |
|---|---|
| Arrays & Strings | Two pointers, sliding window, prefix sums |
| Hash Maps & Sets | Frequency counting, lookups, grouping |
| Linked Lists | Reversal, fast/slow pointers, merging |
| Stacks & Queues | Monotonic stack, BFS scaffolding |
| Trees | DFS (pre/in/post), BFS, binary search trees |
| Graphs | BFS, DFS, topological sort, union-find |
| Heaps | Top-K, merge K lists, scheduling |
| Recursion & Backtracking | Permutations, combinations, subsets |
| Dynamic Programming | 1D and 2D DP, memoization |
| Binary Search | On arrays and on answer space |
Sorting and basic complexity analysis (Big-O) underpin all of these. If you cannot quickly state the time and space complexity of your solution, fix that first—interviewers always ask.
Here is the insight that changes everything: most interview problems are variations of about 15 patterns. Learn to recognize the pattern, and you solve the problem in minutes instead of reinventing it. The highest-leverage patterns:
When you study, group problems by pattern rather than solving them randomly. After a few problems in a pattern, you will start to recognize it in the wild—which is exactly the skill the interview tests.
This is an eight-week plan for the most common starting point (comfortable with Easy, shaky on Medium). Scale it to your diagnosis.
Mock interviews are non-negotiable. Solving problems silently in your head is a completely different skill from explaining your approach while coding under observation. The fastest way to build that skill is with an AI partner: the Codivise AI coding coach runs realistic timed mock interviews and gives you feedback on both your solution and your communication.
Most people practice in a way that feels productive but does not transfer to the interview. Use these principles instead:
Quality beats quantity. 150 problems studied deeply with spaced repetition will serve you far better than 500 rushed problems you forget a week later.
Landing the offer is not only about algorithms. Two things candidates neglect:
If you are targeting FAANG and similar companies, the bar is higher but the plan is the same—with a few adjustments:
The grind is real, but a focused 10–12 weeks following this structure beats a frantic, unstructured six months almost every time.
It depends on your starting point. If you are already comfortable with Medium problems, four to six weeks of focused practice is usually enough. The most common case—comfortable with Easy but shaky on Medium—needs eight to ten weeks at one to two hours a day. If you are rebuilding fundamentals, plan for twelve weeks or more.
Around 100 to 200 problems studied deeply is more effective than 500 rushed ones. Focus on covering the core patterns rather than hitting a number. A curated list grouped by pattern (such as the well-known Blind 75 or Grind 75) is a far better use of time than solving random problems.
Quality, decisively. Solving a problem, understanding why the approach works, and being able to re-solve it a week later beats grinding through dozens of problems you immediately forget. Use spaced repetition and always attempt a problem before reading the solution.
Yes. Coding silently is a different skill from coding while explaining your reasoning under time pressure and observation. Mock interviews are where most candidates discover communication gaps, panic patterns, and timing issues—far better to find them in practice than in the real thing.
Knowing how to prepare for a coding interview is one thing; executing under pressure is another. Codivise turns this study plan into practice: the AI coding coach runs realistic, timed mock interviews with instant feedback on your solution, your complexity analysis, and your communication—available whenever you are, with no scheduling. Pair it with the CV grader to make sure your resume earns the interview in the first place.
Start your 14-day free trial today and run your first mock coding interview in minutes. Consistent, feedback-driven practice is what turns a study plan into an offer.