Am I Replaceable?
An interactive assessment platform evaluating developer judgment, edge-case intuition, and AI replaceability index with a shareable benchmark dossier.
Usecase
Am I Replaceable? helps software engineers evaluate where their judgment and problem-solving instincts stand in the age of generative AI, offering actionable insights into irreplaceable skills.
Overview
Am I Replaceable? (amireplace.yashnandvana.in) is an interactive developer evaluation platform designed to assess engineering instincts beyond raw code generation. By posing real-world architectural dilemmas, edge-case evaluations, and AI delegation scenarios, it scores engineers across Architectural Judgment, Edge Case Intuition, and AI Taste, producing a shareable Benchmark Dossier and optional global leaderboard ranking.
Key Features
Tech Stack
- Next.js – Framework driving high-performance routing, dynamic client-side evaluations, and serverless APIs.
- React – Core library managing dynamic diagnostic state transitions, score calculations, and interactive cards.
- TailwindCSS – Powers custom cyber-terminal styling, high-contrast dark themes, and responsive layout grids.
- NextAuth.js / Google OAuth – Handles secure Google authentication for optional developer profile and leaderboard publishing.
- Vercel – Hosts the live application with global edge caching and minimal cold starts.
Challenges & Learnings
Designing a Meaningful Scoring Algorithm
Formulating weighted metrics for architectural taste and edge-case instincts that reflect genuine engineering capabilities rather than trivial trivia.
Balancing Zero-Friction UX with Community Publishing
Allowing 100% anonymous, instant evaluations while providing optional Google authentication for leaderboard rankings without interrupting flow.
Generating High-Quality Shareable Visual Cards
Ensuring responsive rendering of the Benchmark Dossier so scores format cleanly across mobile devices and social share cards.
Outcome
Am I Replaceable? became an engaging, viral developer reality check that sparks insightful discussions around AI's impact on software engineering. It provides engineers with a tangible, shareable benchmark of their architectural and system judgment.
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