Reflection Unveils Asimov: An AI Agent Designed to Monitor Every Aspect of Software Development

Reflection AI, a startup founded by former Google DeepMind researchers, has unveiled a new AI agent named Asimov. Unlike traditional coding assistants, Asimov is designed to analyze not only code but also emails, Slack messages, project status reports, and other technical documents to gain a comprehensive understanding of software development processes.

The company claims that this innovative approach could result in more advanced software assistants and pave the way for the development of superintelligent AI systems.

The founding team of Reflection includes CEO Misha Laskin and CTO Ioannis Antonoglou, both of whom previously worked at Google DeepMind. Laskin contributed to the creation of Gemini and various AI-agent projects, while Antonoglou focused on reinforcement learning techniques, including AlphaGo.

According to an internal, non-independent survey, developers preferred Asimov’s responses 82% of the time, compared to 63% for Claude Code (Sonnet 4) from Anthropic. Asimov also outperformed Cursor Ask, another competing tool.

Reflection takes a different approach from most existing AI agents. While the industry primarily focuses on code generation, Asimov is built to comprehend code and the entire development workflow.

To achieve this, Asimov employs an advanced deep learning architecture capable of processing large volumes of information. The system utilizes multiple «extractor» agents to gather vital details from extensive codebases and relays this information to a single «aggregator» agent that synthesizes it into a coherent response. The goal is to establish a persistent memory structure for the collective knowledge of the development team, which includes decision logs and business context.

A key feature of Asimov is Asimov Memories, allowing developers to retain internal team knowledge using prompts like “@asimov, remember that X works this way.” These memories are safeguarded by a role-based access control system, regulating who can add or modify content. Representatives from Reflection state that this sets them apart from other agents that primarily adapt to individual developer preferences.

Currently, Asimov operates on open-source models that Reflection further trains using reinforcement learning, utilizing both human-labeled and synthetic data. The company asserts that client data is not used for training purposes. To protect sensitive information, Asimov is deployed in the client’s own virtual private cloud. Reflection is also developing its proprietary models for future releases.

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For the original article, click [here](https://the-decoder.com/reflection-unveils-asimov-an-ai-agent-built-to-track-every-step-of-software-development/).