Meta Acquires AI Coding Startup Conductor

Meta has acquired Conductor, a startup whose platform lets software engineers deploy teams of AI agents to work on different parts of a project at the same time. The deal points to Meta's interest in agentic coding tools that can parallelize development rather than assist with just one task at a time. Instead of a single AI helper responding to prompts, Conductor's approach suggests a model where multiple agents take on separate pieces of work and coordinate around a shared goal. That vision fits a broader race among major AI labs to build end-to-end software development assistants. Companies are moving beyond code completion toward systems that can plan, write, review, and test code across larger workflows. Conductor's multi-agent method could be especially relevant for projects that can be split into independent tasks, though it also raises questions about coordination, quality control, and oversight. Meta's acquisition adds to a wave of consolidation in the AI coding space, as large platforms look to bring specialized capabilities in-house. Financial terms were not disclosed. For Meta, the deal could strengthen its developer tooling and give it more insight into how agent-based workflows might operate in practice. For the broader market, it reinforces the idea that the next phase of AI coding will involve orchestration as much as raw model performance. The success of such tools will depend on whether they can make engineering teams faster without creating new layers of complexity. Conductor's team and technology now become part of Meta's effort to answer that question.