Harness Acquires Augment Code to Enable Autonomous SDLC from Idea to Deployment

Harness Inc. has acquired select assets from Augment Code Computing Inc., marking a strategic move to create an autonomous SDLC that connects code creation with production deployment1

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. The acquisition brings Cosmos, Augment Code's cloud-based AI code development platform, along with the Auggie command-line interface products, the Code Context Engine, and related technologies into Harness's ecosystem1

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. The Augment Code team will join Harness to accelerate work on making the entire software development lifecycle increasingly autonomous2

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Bridging the Gap from Idea to Deployment

Harness co-founder and CEO Jyoti Bansal explained the strategic rationale behind the acquisition: "Right now, turning an idea into code and taking that code to production are two separate jobs, and someone has to manually steer every step in between"1

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. Harness has spent years helping major enterprises get code safely to production, while Augment Code focused on getting from an idea to good code1

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. The acquisition creates what the company calls an "idea to deployment" agent-to-agent experience that automates engineering work across the entire DevOps pipeline1

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Introducing Harness Cosmos Software Factory Agent

Cosmos will become the Harness Cosmos Software Factory Agent with a focused mission: automate engineering work from idea to code2

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. Developers can use Cosmos to prompt and coordinate AI agents to generate and maintain code at scale using natural language prompts1

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. When a requirement is written, a ticket is assigned, or a bug is reported, a fleet of Cosmos agents plans the change, writes the code and tests, and opens pull requests2

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. Each agent works in its own isolated virtual machine and pulls in an engineer only where judgment is needed, like approving a design or making the final merge2

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Context-Aware AI Software Development

The Code Context Engine keeps a live map of the codebase, ensuring changes fit the existing code structure2

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. Connecting Augment's Code Context Engine with Harness's Software Delivery Knowledge Graph provides insights across the full SDLC, showing what's being built and what happens to it once it ships2

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. Bansal emphasized the importance of this integration: "AI's impact on software will not be measured by how much code it generates, but by how much valuable software reaches customers"2

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Autonomous Engineering Workflows Across the Platform

Once Harness Cosmos completes the coding work, Harness's existing agents for software delivery, security testing, runtime protection, and cost management take over, handling everything within the DevOps pipeline from work to production1

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. When Harness downstream agents identify an issue while testing, securing, or deploying code, they send it back to Cosmos with the context to fix it2

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. This creates end-to-end workflows where testing and security don't simply sit on a separate dashboard but are integrated directly into the work1

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What This Means for Development Teams

Augment Code co-founder and CTO Igor Ostrovsky stated: "We set out to bring AI to the entire software development lifecycle, starting with context-aware coding. Joining Harness is the next step toward that vision. Together, we can make engineering work increasingly autonomous, with engineers stepping in only where judgment really matters"2

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. For existing Harness customers, Bansal noted that the only thing changing is opportunity: "Our customers will get a choice. They can keep using their preferred coding tools, adopt Harness Cosmos, or use both"1

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. Teams can fork prebuilt Experts like Project Builder, PR Author, Deep Reviewer, and PR Fixer, tune each one to their own codebase, and deploy it organization-wide2

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. The AI-driven software delivery platform now offers AI-powered coding tools that share context from code to production, making the autonomous SDLC vision accessible to every team on the Harness platform2

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