AI coding assistants are evolving from simple autocomplete into autonomous agents that plan, edit multi-file codebases, run tests and iterate on their own output. Alongside proprietary tools such as Claude Code, a fast-growing ecosystem of open-source coding agents and harnesses (OpenCode, Pi, OMP and others) pairs open LLMs with different orchestration, tool-use and context-management strategies. In this 6-month internship starting in February 2027, you will investigate how far open-source agents can go: can a small open-source model paired with a carefully tuned, custom harness match or beat a large model running behind a generic harness such as Claude Code?
Tasks
- Set up and benchmark open-source coding harnesses (OpenCode, Pi, OMP) against Claude Code across a shared suite of coding tasks
- Design a rigorous benchmark protocol: task tiers, success criteria and scoring (accuracy, code quality, turns, cost, latency)
- Test whether small open-source models with a tuned, custom harness can match or beat large models behind a generic harness in specific situations
- Analyze failure modes and identify which harness-design levers matter most (planning, tool use, context management, error recovery)
- Extend harness design to other tasks: project management, visualization, data analysis
- Write up your findings in a technical report, present results and demos internally, and create reusable templates and guidelines for open-source coding agents
Requirements
- Comfortable with Python
- Genuine interest in LLMs, autonomous coding agents and developer tooling
- Rigorous and curious, comfortable designing experiments and interpreting data
- Good written communication skills (benchmark reports, internal documentation)
Benefits
- A dynamic, collaborative workplace with a highly motivated, multicultural team working across international sites
- The chance to make a difference in people's lives by building innovative solutions
- Internal coding events such as Hackathons and Brownbag sessions, plus our technical blog
- Monthly After-Works organized at each location
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