Kajal Pansuriya
Developer Educator, ShareCode
📍 India · BCA — Bachelor of Computer Applications
About Kajal
Kajal Pansuriya writes the tutorial-track content on the ShareCode blog. She covers the topics most developers actually search for early in their careers and during interview prep: Python fundamentals, JavaScript debugging, the coding-interview patterns that show up from FizzBuzz to LRU Cache, and the everyday habits that produce clean, reviewable code.
Her posts lean on worked examples and copy-pasteable code rather than abstract framing. A reader who follows one of her tutorials should be able to type the code, hit the same errors the post calls out, and reach the same working result by the end. The published posts in that style include the JavaScript debugging guide, the Python beginners walkthrough on variables and data types, the multi-level coding-interview prep guide, and the online-editor versus desktop-IDE comparison.
She also covers the collaboration and best-practices side of the catalogue — the advanced pair-programming post, the use-case playbooks, and the clean-code guide. Those sit in the middle ground between tutorial and reference: they assume the reader writes code professionally, but they spell out the decisions experienced engineers tend to make automatically and forget to explain.
Before joining ShareCode she worked independently on developer-education content and one-on-one mentorship — helping people transitioning into engineering from adjacent fields. That work shapes the writing more than anything technical. Watching new developers hit the same mistakes in real time is the fastest way to learn which explanations actually land and which ones only sound clear to the writer.
On the editorial side, she also reviews the technical accuracy of the engineering deep-dives written by Kishan, which keeps her unusually current on what the rest of the team is building. The cross-pollination is intentional: tutorials read better when the writer knows what the rest of the catalogue covers, because the examples connect naturally to the wider site.
How Kajal writes
“Most readers hit a tutorial when they are short on time, slightly frustrated, and looking for the answer to a specific question. A good post answers that question well, and along the way builds enough surrounding context that the reader leaves with a model they can extend on their own.”
“Her tutorials follow a consistent shape. Open with a working example you can copy and paste, so the reader can confirm the base case runs on their machine before investing time in the explanation. Walk through what each piece does, in the order the reader needs it, with explicit callouts of the mistakes that catch most beginners on the same line. Close with a slightly more advanced version of the same example, so the reader has a clear next step if they want to go deeper. It takes more effort to write than either a wall-of-theory post or a snippet dump, and it leaves the reader actually able to use what they read.”
What Kajal writes about
The areas Kajal covers in depth on the ShareCode blog
Python fundamentals for working beginners
Variables, data types, lists, dictionaries, loops, functions, and the first few small projects that turn isolated syntax into a working mental model. Targets the developer who has installed Python, opened a tutorial, and run into the gap between knowing the syntax and being able to write a small program that solves a real problem.
JavaScript debugging and DevTools
The debugging techniques experienced engineers use automatically — strategic console methods, conditional breakpoints, source-map navigation, network inspection, performance profiling, and collaborative debugging workflows. Less about advanced tooling, more about the basics applied with intent.
Coding-interview preparation
A layered approach to interview prep, from problems most candidates can solve under no pressure up to full data-structure implementations like an LRU Cache. Emphasis on how to talk through a solution out loud, what interviewers are actually evaluating, and the mistakes that tank otherwise strong technical answers.
Clean code and code review
Naming conventions that survive the second reader, function decomposition that does not invent abstractions before they are needed, and the small editorial habits that make a pull request faster to review. Drawn from working on a codebase with multiple authors over multiple months.
Pair programming and remote collaboration
Practical guidance for pairing remotely without the awkwardness of a first attempt — driver and navigator roles, when to swap, how to handle disagreements without burning trust, and the anti-patterns that wreck otherwise productive sessions. Useful for individual developers and shareable as onboarding material for team leads.
Based in India. Studied Computer Applications (BCA) and spent several years on independent developer-education and freelance web work — running her own studio under the kajalwebstudio.com brand — before joining the ShareCode editorial team.
The work before ShareCode included direct mentorship for people moving into engineering from other fields: researchers learning to write production-grade Python, designers building enough JavaScript to ship their own portfolio sites, support engineers stepping into developer-tools roles. Most developer-facing writing on the internet is written by people who have forgotten what it was like not to know the thing they are explaining. Sitting with new developers in real time, while they hit the same beginner mistakes repeatedly, is the fastest way to figure out which explanations actually land.
The tutorial queue right now is focused on filling in the natural follow-ups to existing beginner content. The Python beginners post will get a sequel on object-oriented programming, the JavaScript debugging post will get a follow-up on async debugging specifically, and the coding-interview series will gain a sixth level on junior-to-mid system design questions.
On the editorial side, she is leading a review pass on the older posts to confirm every code example still runs against current versions of the underlying libraries, and to add the explicit common-mistake callouts to posts written before that became standard. It is the unglamorous half of educational publishing; doing it well is what separates a blog that stays useful for years from one that decays into a backlog of slightly-wrong examples.
Areas of expertise
- Python fundamentals & teaching beginners
- JavaScript debugging & DevTools
- Coding-interview preparation
- Clean code & code review
- Pair programming & remote collaboration
Articles by Kajal
17 postsBuilding a Football Stats Dashboard: React, Firestore, and a Football API
A hands-on tutorial for building a real-time football analytics dashboard with React and Firestore — caching a football API through a scheduled Cloud Function, live score updates with onSnapshot, a Messi vs Ronaldo comparison, charts, search, security rules, and deployment.
Pair-Programming With an LLM Without Losing the Craft
Concrete checkpoint-review loops, when to delegate and when to drive, and the workflow patterns that keep your judgment sharp when an AI assistant is offering confident-sounding answers all day.
Prompting Patterns That Produce Reviewable Code
Six concrete prompt shapes experienced developers use to get useful first drafts from LLMs — with before/after examples and the specific phrases that move output from generic to reviewable.
Font Loading Without Layout Shift
font-display strategies, the size-adjust descriptor, preloading the right weights, and the trade-off curve between flash-of-unstyled-text and cumulative layout shift.
Image Optimisation: Format, Sizing, and the Lazy-Load Rules
AVIF vs WebP vs PNG, srcset and sizes, native loading=lazy quirks, and why the LCP image should absolutely not be lazy. A working format playbook for image-heavy sites.
Core Web Vitals Explained: LCP, CLS, INP Without the Buzzwords
What each Core Web Vital actually measures, where the number comes from, what user behaviour it correlates with — and the engineering moves that move each metric in production.
The Four Data-Fetching Patterns Every Growing App Needs
Stable-key queries, paginated lists with infinite scroll, mutations with optimistic updates, and the cache-invalidation rules that connect mutations back to the queries they affect.
Component Boundaries: Composition Over Configuration
How to spot a component that has accumulated too many props, the refactoring path from configuration-heavy primitives to slot-based composition, and headless component libraries as a reference pattern.
Fixing "Hydration Mismatch" Errors in Next.js: A Working Method
The "Text content does not match server-rendered HTML" warning is one of the most common Next.js errors. This guide explains what hydration is, the four causes that account for almost every real case, and the small set of fixes that resolve each.
From FizzBuzz to LRU Cache: Coding Interview Problems in a Shared Editor
FizzBuzz, HashMap patterns, linked lists, and a full LRU Cache — solved the way real interviews run them: live in a shared editor, narrating as you type while the interviewer watches every keystroke. Patterns, complexity, and what they're really evaluating.
Python for Beginners: Variables, Data Types, and Learning by Coding Together
A beginner-friendly Python tutorial — variables, data types, lists, dictionaries, loops, functions, and a working calculator project — designed to follow along in a shared editor with a mentor or study partner watching your screen.
JavaScript Debugging Tips: From Console Tricks to Debugging Together
Practical JavaScript debugging — console methods, conditional breakpoints, the debugger statement, source maps, and async stack traces — plus how to debug live with someone in a shared editor, often the fastest fix of all.
Writing Clean Code for Code Reviews and Live Collaboration
Clean code matters most when another person is reading it — in a code review, a live interview, or a pair session. Naming, function length, comments, and formatting, framed for code that gets read in real time, not just executed.
Top 10 Online Code Editors Compared
A comprehensive comparison of the top 10 online code editors for developers in 2026 — features, collaboration support, pricing, and which editor is best for your workflow.
Online Code Editors vs Desktop IDEs: When to Use Which
Compare online code editors and desktop IDEs across speed, collaboration, setup, and use cases. Learn when each tool is the right choice for your workflow.
Best Practices for Remote Pair Programming (Advanced)
For teams already pairing regularly — ping-pong with TDD, strong-style, mob programming, asymmetric pairing for onboarding, and the anti-patterns that quietly wreck experienced teams. New to pairing? Read the beginner intro first.
5 Real Ways Teams Use ShareCode Every Day
Discover how developers, interviewers, teachers, and open-source teams use ShareCode for live coding interviews, pair programming, debugging, and more.
Get in touch with Kajal
Spotted a factual error or have a suggestion for a topic Kajal should cover? Email directly or use the contact form. Corrections are reviewed by the editorial team and applied within a few business days.