DockSmith: Scaling Reliable Coding Environments via an Agentic Docker Builder

📰 ArXiv cs.AI

Learn how DockSmith scales reliable coding environments using an agentic Docker builder, improving execution-grounded training and evaluation of software engineering agents

advanced Published 29 Apr 2026
Action Steps
  1. Build a Docker-based environment using DockSmith
  2. Configure DockSmith to exercise long-horizon tool use and dependency reasoning
  3. Test failure recovery mechanisms in DockSmith
  4. Apply DockSmith to scale execution-grounded training and evaluation of software engineering agents
  5. Compare the performance of DockSmith with traditional Docker builders
Who Needs to Know This

DevOps and software engineering teams can benefit from DockSmith to improve the reliability and scalability of their coding environments, leading to more efficient training and evaluation of software agents

Key Insight

💡 DockSmith treats environment construction as a core agentic capability, enabling long-horizon tool use, dependency reasoning, and failure recovery

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🚀 Scale reliable coding environments with DockSmith, an agentic Docker builder! 🤖

Key Takeaways

Learn how DockSmith scales reliable coding environments using an agentic Docker builder, improving execution-grounded training and evaluation of software engineering agents

Full Article

Title: DockSmith: Scaling Reliable Coding Environments via an Agentic Docker Builder

Abstract:
arXiv:2602.00592v2 Announce Type: replace Abstract: Reliable Docker-based environment construction is a dominant bottleneck for scaling execution-grounded training and evaluation of software engineering agents. We introduce DockSmith, a specialized agentic Docker builder designed to address this challenge. DockSmith treats environment construction not only as a preprocessing step, but as a core agentic capability that exercises long-horizon tool use, dependency reasoning, and failure recovery, y
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