GuideCareer
10 min read
Solving hundreds of random problems is a slow way to get good at assessments. Learning to recognise the pattern behind a problem is faster. This article sets out which patterns matter most for fresher assessments, a practice loop with a hint ladder, how to set up an AI assistant as a Socratic coach that never hands you the answer, an error log, timed contests, and a weekly plan.
GuideCareer
10 min read
Knowing algorithms is half of an online assessment. The other half is strategy: reading all problems first, using the constraints to tell you the complexity you need, capping time per problem, submitting a working brute force before optimising, collecting partial marks, and testing edge cases before the hidden tests do. Includes a stress-testing technique for practice, with a short program.
GuideTechnology
23 min read
A step-by-step routine for coding interviews: clarify, work examples, state a brute force, optimize, agree on a plan, code, test and analyze. Includes a full sample dialogue, advice on getting unstuck, and checklists you can use in mock interviews.
GuideTechnology
17 min read
How to turn a vague problem statement into a clear plan: pin down inputs, outputs and constraints, list edge cases, write pseudocode, build a brute-force answer first and then improve it.
GuideTechnology
5 min read
DSA is the most feared part of software interviews. The fear mostly comes from learning it badly. Here is a calm, pattern-based way to learn it, with a topic order, daily habits and ways to retain what you solve.
