--- title: AI for Legacy System Modernization: PostgreSQL Case Study description: A utility admin platform migrated from containerized PostgreSQL 9 to PostgreSQL 14 on AWS RDS with minimal downtime using an agentic AI workflow combining... canonical: https://daily.dev/posts/ai-for-legacy-system-modernization-postgresql-case-study-8f53hwgpi twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: AI for Legacy System Modernization: PostgreSQL Case Study | daily.dev og:description: A utility admin platform migrated from containerized PostgreSQL 9 to PostgreSQL 14 on AWS RDS with minimal downtime using an agentic AI workflow combining... og:url: https://daily.dev/posts/ai-for-legacy-system-modernization-postgresql-case-study-8f53hwgpi og:image: https://api.daily.dev/og/posts/8F53hWGPI.png og:image:alt: AI for Legacy System Modernization: PostgreSQL Case Study og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # AI for Legacy System Modernization: PostgreSQL Case Study **[Freshcode](https://daily.dev/sources/freshcodeit)** · [@freshcode](https://daily.dev/freshcode) · 1 min read · 2 upvotes · 0 comments ## Summary A utility admin platform migrated from containerized PostgreSQL 9 to PostgreSQL 14 on AWS RDS with minimal downtime using an agentic AI workflow combining Claude Code, GPT, and Copilot. The AI tools helped map dependencies, summarize undocumented triggers, and bootstrap E2E tests quickly — while engineers retained control over architecture decisions, risk management, and rollback planning. The case study covers the full process, results, and limitations of AI in legacy discovery scenarios. ## Content A live utility admin platform needed to move from containerized PostgreSQL 9 to PostgreSQL 14 on AWS RDS — with minimal downtime. Years of business logic were hiding in raw SQL and triggers scattered across the codebase, with almost no test safety net. We used an agentic AI workflow (Claude Code, GPT, Copilot) to map dependencies, summarize undocumented triggers, and bootstrap E2E tests fast — while engineers kept full control of architecture, risk calls, and rollback design. Full breakdown of the process, results, and what AI _couldn't_ do here: 🔗 [AI for Legacy System Modernization: PostgreSQL Case Study](https://www.freshcodeit.com/blog/ai-assisted-postgresql-database-migration) Anyone else used AI for legacy discovery — did it save real time, or just move the bottleneck? ## Similar posts on daily.dev - [Moving AI apps from prototype to production requires enterprise-grade postgres infrastructure](https://daily.dev/posts/moving-ai-apps-from-prototype-to-production-requires-enterprise-grade-postgres-infrastructure-5b1nwfand) · The New Stack · 1 upvotes · 0 comments - [Why developers are betting on Postgres for AI](https://daily.dev/posts/why-developers-are-betting-on-postgres-for-ai-pefuo5sjs) · The New Stack · 1 upvotes · 0 comments - [AI-Powered PostgreSQL Query Optimization: A Comprehensive Approach](https://daily.dev/posts/ai-powered-postgresql-query-optimization-a-comprehensive-approach-jrdbimybh) · Trendyol Tech · 5 upvotes · 0 comments --- Tags: [#database](https://daily.dev/tags/database), [#postgresql](https://daily.dev/tags/postgresql), [#ai-assisted-development](https://daily.dev/tags/ai-assisted-development), [#aws-rds](https://daily.dev/tags/aws-rds) [View this post on daily.dev](https://daily.dev/posts/ai-for-legacy-system-modernization-postgresql-case-study-8f53hwgpi) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"DiscussionForumPosting","mainEntityOfPage":"https://daily.dev/posts/ai-for-legacy-system-modernization-postgresql-case-study-8f53hwgpi","headline":"AI for Legacy System Modernization: PostgreSQL Case Study","text":"A utility admin platform migrated from containerized PostgreSQL 9 to PostgreSQL 14 on AWS RDS with minimal downtime using an agentic AI workflow combining Claude Code, GPT, and Copilot. 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