Reflection AI has secured $130 million in funding to develop fully autonomous coding systems, aiming to redefine software engineering with AI that can independently handle programming tasks.
The funding includes a $25 million seed round led by Sequoia Capital and CRV, followed by a $105 million Series A led by Lightspeed Venture Partners and CRV. Founded by former Google DeepMind researchers Misha Laskin and Ioannis Antonoglou, the startup is focused on advancing AI beyond coding assistants to systems that can plan, write, test, and deploy code without human intervention.
Unlike traditional AI tools that assist developers, Reflection AI’s technology is designed to handle complete engineering tasks autonomously.
The company already has paying customers in financial services, technology, and other sectors with extensive coding operations. Investors believe this innovation could revolutionize the industry, allowing companies to clear development backlogs in days rather than months, automate complex code migrations, and proactively address cybersecurity risks.
Sequoia Capital emphasized that current coding assistants have already boosted developer productivity significantly, and fully autonomous coding agents represent the next major step.
Reflection AI’s system integrates directly into an organization’s codebase and workflows, autonomously managing well-defined engineering tasks from start to finish. Lightspeed Venture Partners highlighted the company’s use of reinforcement learning to enhance large language model capabilities, bringing AI closer to achieving superintelligence.
CRV described Reflection AI’s potential as industry-changing, envisioning a future where software development is faster, more efficient, and largely automated.
The company’s focus on AI-driven automation positions it as a major player in the evolving field of intelligent software engineering. As AI continues to transform industries, Reflection AI’s approach could set a new standard for how businesses build and maintain software.
