Harness is on a mission to make it simpler for builders to do database migrations with its new AI-Powered Database Migration Authoring characteristic. This new functionality permits customers to explain schema modifications in pure language to obtain a production-ready migration.
For instance, a developer might ask “Create a desk named animals with columns for genus_species and common_name. Then add a associated desk named birds that tracks unladen airspeed and correct identify. Add rows for Captain Canary, African swallow, and European swallow.”
Harness’ platform would then analyze the present schema and insurance policies, generate a backward-compatible migration, validate the change for security and compliance, commit it to Git for testing, and create rollback migrations.
“That is greater than an incremental characteristic – it’s a step towards AI-native DevOps, the place methods perceive intent, implement coverage, and automate supply from code to cloud to database,” Harness wrote in a weblog put up.
This new functionality is part of Harness Database DevOps and is powered by Harness’ Software program Supply Information Graph and MCP Server, which understands the person’s database and pipelines and has built-in greatest practices.
In line with Harness, AI has sped up the method of writing code, however methods that transfer that code into manufacturing, like testing, safety, and database supply, haven’t stored up. Moreover, most improvement groups nonetheless handle schema updates manually by way of SQL scripts, spreadsheet monitoring, and late-stage approvals.
“In a latest Harness examine, 63% of organizations ship code sooner since adopting AI, however 72% have suffered no less than one manufacturing incident attributable to AI-generated code. The result’s the AI Velocity Paradox: sooner coding, slower supply. However there’s an answer. 83% of leaders agree that AI should lengthen throughout the complete SDLC to unlock its full potential. Database DevOps helps to shut that hole by extending AI-powered automation and governance to the final mile of DevOps: the database,” Harness wrote.
