ashrivastava
menu
// case study — shutterstock-plugins← all projects

Shutterstock Plugins

The Shutterstock Plugins project encompasses a suite of creative tools and integrations designed to seamlessly integrate Shutterstock's vast content library into popular creative software. These plugins allow users to search, preview, and license content directly within their preferred creative applications, streamlining the creative workflow and reducing context switching.

Professional·plugin·2018

Shutterstock GmbH · Software Engineer

// hero
Shutterstock Plugins
// stack
frontend
JavaScriptHTML5CSS3React.js
backend
Node.jsExpress.jsREST APIsGraphQL
database
PostgreSQLRedis
tools
Adobe CEP
// challenges
  • Supporting multiple creative software platforms with different APIs
  • Maintaining consistent user experience across different host applications
  • Handling large media files and preview generation
  • Ensuring plugin stability and performance
// solutions
  • Created unified plugin architecture with platform-specific adapters
  • Developed consistent UI framework that adapts to host application themes
  • Implemented efficient caching and progressive loading for media
  • Built comprehensive testing suite for different plugin environments
// outcomes — impact2

Successfully launched plugins for 5+ major creative applications

Reduced average licensing time from 5 minutes to 30 seconds

// related — other projects
Own productpinnedfeatured
ai2026

JobJam.io — AI Job Search & Application Platform

AI-powered job search platform: discover roles, evaluate fit, tailor applications, and close skill gaps. One-time pricing, no subscriptions.

AILLMsJob SearchAnthropic Claude+3
Own productpinnedfeatured
ai2026

Fathohm — Comprehension-Debt System of Record

See how much of your codebase no human understands. A treemap of your repo colored by human comprehension score, with a tracked, assignable metric for 'who understands what' in an AI-native codebase.

AIDeveloper AnalyticsGitHub AppLLM Classification+2
Own productpinnedfeatured
ai2026

Grenz — Firewall for AI Agents

A local firewall for AI agents: scoped, revocable, observable permissions instead of your full GitHub token. Deny-by-default, MIT licensed, live at grenz.dev.

AI AgentsSecurityIAMMCP+2