Devin, the AI coding agent from Cognition AI, is now officially available to U.S. federal agencies through a strategic partnership with Carahsoft Technology Corp., a major government IT solutions provider. This move marks a significant shift in how the government approaches one of its most expensive and time-consuming challenges: modernizing decades-old legacy systems, particularly COBOL code running on mainframes.

What Makes Devin Different for Government Legacy Systems?

Unlike simple code translation tools, Devin uses what Cognition calls a "compound AI architecture," which means it orchestrates multiple specialized AI models to handle different parts of the modernization process. Rather than applying a one-size-fits-all approach, the platform selects the right model for code analysis, transformation, testing, and documentation at each stage.

Gardner Johnson, VP of Partnerships at Cognition AI, explained the distinction: "Our platform doesn't just translate legacy code, it understands it. That distinction is critical when agencies are modernizing millions of lines of COBOL and decades of mainframe logic, where a surface-level conversion creates more risk than it removes." This understanding is crucial because federal systems often contain complex business logic that has evolved over 30 or 40 years, and a shallow conversion could introduce security vulnerabilities or operational failures.

Gardner Johnson, VP of Partnerships at Cognition AI

How Will Federal Agencies Access Devin?

Carahsoft, known as "The Trusted Government IT Solutions Provider," will distribute Devin through multiple government procurement channels, making it easier for federal, state, and local agencies to acquire the platform. The partnership makes Devin available through several major government contract vehicles:

• SEWP V Contracts: NASA Solutions for Enterprise-Wide Procurement agreements that streamline technology purchases across federal agencies
• NASPO ValuePoint: A cooperative purchasing program used by state and local governments to procure IT solutions
• OMNIA Partners: A national cooperative that helps public sector organizations access technology at negotiated rates

This multi-channel approach removes procurement friction that typically slows government technology adoption. Instead of each agency negotiating separately, they can leverage existing contracts that Carahsoft has already established.

Why Does the Government Care About Mainframe Modernization Right Now?

Federal agencies are sitting on a massive technical debt problem. Millions of lines of COBOL code power critical systems for Social Security, the IRS, the Department of Defense, and other agencies. These systems work, but they're expensive to maintain, difficult to update, and increasingly hard to find skilled COBOL programmers. Modernizing this code to contemporary languages like Java or Python would free up resources and reduce operational risk, but the sheer volume makes it a daunting task.

Natalie Gregory, Vice President for Open Source and DevSecOps Solutions at Carahsoft, noted that the partnership addresses a core government challenge: "Cognition AI's flagship products are designed to assist engineering teams in building software more efficiently and modernizing legacy systems with confidence, freeing staff to focus on what matters most and drive measurable business outcomes such as accelerated mainframe retirement timelines and reduced technical debt".

Natalie Gregory, Vice President for Open Source and DevSecOps Solutions at Carahsoft

What Sets Devin Apart From Other AI Coding Tools?

Devin is designed to work end-to-end on complex engineering tasks, planning, coding, testing, and iterating autonomously. The platform is also model-agnostic, meaning it doesn't lock agencies into a single AI foundation model. This flexibility is important for government, which often has strict requirements around data sovereignty and vendor independence.

The platform includes enterprise-grade governance features critical for federal use, including FedRAMP High authorization (a rigorous security certification required for government cloud services) and zero data retention policies. This means agencies can move quickly without compromising security or compliance requirements.

How Does This Fit Into the Broader AI Coding Agent Landscape?

The Cognition-Carahsoft partnership arrives as the AI coding agent market is rapidly maturing. While earlier coverage focused on how these tools help individual developers work faster, the real momentum is now in enterprise and government deployment, where the stakes are higher and the problems are more complex. Federal modernization represents one of the largest potential use cases for AI coding agents, with billions of dollars in potential value at stake.

This partnership also reflects a broader trend: AI companies are moving beyond consumer and startup markets into regulated industries where trust, compliance, and proven governance matter more than raw speed. Carahsoft's deep expertise in government procurement and compliance makes it the ideal distribution partner for Cognition to reach federal agencies at scale.

Steps for Federal Agencies to Evaluate Devin

• Contact Carahsoft Directly: Agencies can reach out to Carahsoft at (877) 742-8468 or cognitionai@carahsoft.com to discuss their specific modernization challenges and how Devin might apply
• Review Existing Contracts: Federal IT teams should check whether their organization already has access through SEWP V, NASPO ValuePoint, or OMNIA Partners contracts, which can accelerate procurement
• Assess Legacy System Scope: Agencies should inventory their COBOL and mainframe systems to understand the scale of modernization needed and identify high-priority candidates for AI-assisted transformation

The Cognition-Carahsoft partnership signals that AI coding agents are moving from experimental tools into mission-critical infrastructure for large organizations. For federal agencies drowning in legacy modernization debt, Devin represents a potential breakthrough, though the real test will come as agencies begin deploying it on actual systems and measuring whether it delivers on the promise of faster, safer modernization timelines.