Cognition and MongoDB Partner to Modernize Enterprise Infrastructure In Months, Not Years
The integration automates parts of legacy migrations while engineers retain control over design and cutover decisions.
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Rhea-AI Summary
MongoDB (MDB) and Cognition launched Devin for MongoDB Modernizations, connecting Cognition’s AI software engineer with MongoDB’s Application Modernization Platform.
Devin handles migration planning and code changes, while MongoDB’s tools move and validate data in Atlas. Engineers retain control over decisions such as the target data model and the order of cutover. In early joint testing, work that previously took five to six hours took just over an hour. The offering is available now to MongoDB and Cognition customers.
Key Figures
- Work duration in early joint testing
- Five to six hours to just over an hour
- Early joint testing
Key Terms
pull requests technical
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Devin for MongoDB Modernizations helps get customers off legacy infrastructure faster, so engineering teams spend less time maintaining old code and more time building on MongoDB Atlas
Devin connects directly to AMP's tooling, which moves and validates data into Atlas, giving joint customers a faster, more automated path from legacy code to production on Atlas. By using Devin and MongoDB together, customers can significantly reduce migration timelines and free up engineering teams to build on MongoDB Atlas, the company's multi-cloud intelligent data platform, instead of working around legacy code that was never designed for it.
"At Bilt, we used Devin to rebuild search and personalization on MongoDB, allowing members to use natural-language queries to discover businesses, services and experiences across our growing ecosystem," said Kosta Krauth, CTO, BILT. "During the final push, our engineering team averaged dozens of merged pull requests a day, while Devin's connection to Atlas's managed MCP service helped us keep testing moving just as quickly. We're excited to see Cognition and MongoDB make it easier to build more experiences like this."
When planning a migration, customers need to balance multiple workstreams: rewriting the business logic that ties code to old data, and moving that data itself. Devin for MongoDB Modernizations assigns each piece to what it does best—Devin handles the code, planning, and rewriting of business logic and data access layers case by case, while AMP's deterministic tooling moves and validates each record into MongoDB—and orchestrates the full process end to end, so customers experience one coordinated migration instead of a patchwork of scripts and manual handoffs. Engineering teams retain control over the decisions that require human judgment, like designing the target data model and sequencing the cutover, while Devin and AMP handle the rest. Teams not yet on MongoDB can get started with Atlas for free at mongodb.com/atlas.
Why Devin for MongoDB Modernizations
Legacy migrations to MongoDB rarely stall due to the new database. They stall due to the wiring around the legacy code. Untangling the thousands of queries, stored procedures, and data access layers takes judgment that no script can supply and is exactly the kind of work Devin is built for.
"Even the most ambitious engineering teams spend much of their capacity keeping legacy systems alive. Devin for MongoDB Modernizations solves that pain. Devin does the heavy lifting, rewriting code across the codebase, so customers reach production on MongoDB in weeks instead of years. Engineers can get back to building great software and solving hard problems," Scott Wu, Co-founder and CEO, Cognition.
Extending MongoDB's Application Modernization Platform
The partnership with Cognition also strengthens AMP, which helps enterprises move onto MongoDB across four phases:
- Understanding what a legacy infrastructure does and how to sequence its migration
- Transforming its code
- Migrating its data
- Verifying that the modernized application matches the original
Devin's code transformation and agentic orchestration extend AMP's language coverage and lets its tools run with fewer manual handoffs between steps. In early joint testing, that shows up directly in the numbers - work that used to take five to six hours now takes just over an hour.
"Most enterprises know they need to modernize their legacy applications, but the cost, complexity, and sheer amount of code involved have forced them to do it one application at a time," said Dev Ittycheria, CEO of MongoDB. "AMP was built to change the economics of modernization by giving customers an automated path from legacy applications to MongoDB. By integrating Devin's code transformation and agentic capabilities into AMP, we can automate even more of that journey and dramatically expand the amount of an enterprise's application estate that can be modernized at once. The result is bigger than a faster migration. Customers can move decades of legacy applications onto MongoDB in months instead of years, giving them a modern data foundation built to run AI applications and agents in production on live operational data."
Devin for MongoDB Modernizations is available now to MongoDB and Cognition customers. To learn more or request an engagement, visit mongodb.com/company/partners/cognition.
About MongoDB
MongoDB is the intelligent data platform for the AI era. Headquartered in
About Cognition
Cognition is the leading AI software engineering company and makers of Devin, the world's first AI software engineer. Devin works end-to-end on complex engineering tasks — planning, coding, testing, and iterating autonomously — enabling teams to scale their engineering capacity without scaling headcount. Cognition has raised over
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SOURCE MongoDB, Inc.