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Platform updates, technical guides, interview strategies, and developer insights to support your preparation.
DSA Interview Preparation: Why Solving Problems Alone Isn't Enough
Blog argues that solo DSA practice (LeetCode grinding) and actual interview performance test completely different skills — one is calm, self-paced problem solving, the other is live explanation under pressure with an evaluator watching. Covers why accepted solutions create false confidence, why the "stuck" state needs specific practice, why you don't know what your explanation sounds like until you say it out loud, and adds the underrated body language factor. Ends with Kiriti AI as the tool that bridges this gap — adaptive DSA rounds with real feedback on both technical depth and communication.
System Design Interview: How to Actually Practice It (Not Just Study It)
Blog argues that studying system design (videos, books, guides) and actually practicing it under interview pressure are completely different skills — most candidates train only the first one. Covers why passive prep fails, what real pressure-based practice looks like (talking out loud, starting before you have the full answer, getting pushed back on, body language awareness), the most common system design mistakes (jumping to solutions, unnecessary scale, staying silent, no framework), and ends with Kiriti AI as the tool that closes the "I know it but can't perform it" gap specifically.
The N+1 Query Problem: How Interviewers Actually Test It (Not Just the Definition)
This blog goes past the standard N+1 definition and covers the actual follow-up questions interviewers ask — how you'd catch it before production, fixing it with .Include() without restructuring the loop, when to use AsSplitQuery() over Include(), and the trap question of whether eager loading is always the right fix. It frames N+1 as a "pattern recognition" skill rather than a memorized definition, and positions Kiriti AI's mock interviews as practice for spotting it live under time pressure, not just reciting what it is.
SOLID Principles Explained with Real .NET Examples
This blog explains all 5 SOLID principles (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion) with actual C# code examples showing both the violation and the fix — not just definitions. It highlights the Rectangle/Square Liskov trap and connects Dependency Inversion directly to why ASP.NET Core uses constructor injection, since that's a common follow-up question. It ends by framing this as a "rehearsal problem, not a knowledge problem" and positions Kiriti AI's adaptive mock interviews and cheatsheets as the way to practice spotting these violations live under pressure.
IEnumerable vs IQueryable in C# — The Difference That Actually Matters
This blog breaks down the practical difference between IEnumerable and IQueryable — IEnumerable pulls data into memory and filters it there, while IQueryable translates the query and runs it directly on the database, which makes a major performance difference on larger datasets. It covers deferred execution, a common source of production bugs, and explains when to use which. It ends with a follow-up interview question (.AsEnumerable() vs .ToList()) that tends to catch candidates off guard, and positions Kiriti AI as the tool that helps identify these exact concept-level gaps and practice explaining them under pressure.
Why Do I Freeze During Interviews Even When I Know the Answer?
Freezing during interviews isn't a knowledge problem — it's a "rehearsal gap." Most prep only builds knowledge (reading, memorizing) but performing that knowledge under pressure is a separate skill that rarely gets practiced. Mock interviews with friends often fail to fix this because there's no real evaluation pressure involved. The actual fix: practice under conditions with real pressure, get feedback on how you answered (not just what you said — pauses, body language, etc.), and repeat it enough times that the pressure itself starts to feel familiar. The post ends by positioning Kiriti AI as the solution — adaptive mock interviews built specifically to close this rehearsal gap.
The Launch of KiritiAI: Personalized Interview Preparation Platform
We are excited to announce the public release of KiritiAI. Built to empower technical professionals, our platform uses specialized algorithms to identify resume gaps and simulate live mock interview conditions.
Improving Interview Communication: Speech Pace & Pacing Analysis
An interview is won not just with what you know, but how you present it. We break down standard communication pacing, visual cues, and answer structuring for remote interview loops.
Personalized Mock Interviews: How Tailored Questions Improve Success Rates
Generic preparation questions miss the mark. Discover how our adaptive algorithms generate resume-specific questions that drill into your core expertise.
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