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Priya Sharma

Priya Sharma

Lead Reviewer & Analyst

BSc Computer Science (Stanford), Former Senior Engineer at Stripe

Priya Sharma is a full-stack developer and AI tooling researcher who has evaluated over 40 AI coding assistants since GPT-3 launched. She writes from the trenches — testing each tool in production codebases across Python, TypeScript, and Go. Her reviews measure what developers actually care about: suggestion accuracy, context awareness, and how much time the tool genuinely saves versus how much it wastes.

AI code editorsdeveloper productivityprompt engineeringcode review automationLLM evaluation
Independently Reviewed
Regularly Updated
32+ Reviews Published

Articles by Priya Sharma(12)

AI Engineering by Chip Huyen Review: The Foundation Models Handbook Every Developer Needs

Huyen's previous book (Designing ML Systems) became the ML-platform standard. Her follow-up on AI Engineering is positioned to do the same for LLM app development.

Machine Learning with PyTorch and Scikit-Learn by Raschka et al. Review

Raschka's ML books have been the practitioner standard for a decade. This PyTorch-era edition covers everything from logistic regression to transformers.

Designing Data-Intensive Applications by Martin Kleppmann Review

DDIA has become the system-design interview reference. Is it worth the 550-page commitment for developers who aren't actively prepping?

Kinesis Advantage360 Professional Ergonomic Keyboard Review: The Split Mechanical Developers Swear By

The Kinesis Advantage has been the gold-standard split ergonomic keyboard for 25 years. The 360 Professional brings Bluetooth + full programmability.

System Design 100 Interview Questions by X.Y. Wang Review

System design interviews have become the make-or-break round for senior engineer roles. Wang's 100-question collection targets broad coverage — does it replace Alex Xu?

AI Coding for Beginners: How New Developers Should Use AI Without Becoming Dependent

How beginner developers should use AI coding tools without becoming dependent. Use AI to learn and explain code, not just to ship code you do not understand.

Local AI Models for Coding: How to Run Ollama and Keep Your Code Private

How to run local AI models for coding using Ollama. Hardware requirements, setup steps, connecting to VS Code via Continue.dev, and realistic quality expectations.

Cursor vs VS Code + GitHub Copilot: Which AI Coding Setup Wins?

Cursor vs VS Code + GitHub Copilot: which setup wins in 2026? Multi-file editing, codebase indexing, and price compared to help you decide whether to switch.

GitHub Copilot Full Review 2026: Is the $10/Month Subscription Worth It?

GitHub Copilot $10/month reviewed for 2026. What you get, real productivity impact, ROI calculation, free tier options, and how it compares to alternatives.

How to Write Better Prompts for AI Code Generation: Practical Guide

How to write better prompts for AI code generation: specificity, providing context, stating constraints, and common mistakes that lead to poor results from AI tools.

AI Coding Tools Privacy Guide: What Happens to Your Code When You Use Them?

What happens to your code when you use AI coding tools? GitHub Copilot, Cursor, and Tabnine privacy policies compared, with options for fully private local coding.

How AI Code Assistants Actually Work: No Hype, Just the Facts

How AI code assistants actually work: LLMs trained on code, autocomplete prediction, why hallucinations happen, and why context windows are critical for quality.