The field of software engineering is witnessing significant advancements in code intelligence and documentation. Researchers are exploring innovative approaches to improve the effectiveness and efficiency of various code-related tasks. One notable direction is the utilization of contextual information beyond basic source code inputs, such as API documentation and intermediate representations like abstract syntax trees, to enhance model performance. This trend is expected to continue, with a focus on developing more sophisticated methods for context integration and evaluation. Noteworthy papers in this area include:

• Bringing Structure to Naturalness, which proposes the Structured Naturalness Hypothesis and provides evidence for its validity in certain languages.
• Towards an Understanding of Context Utilization in Code Intelligence, which conducts an extensive literature review and proposes a research roadmap for future studies.
• DPS: Design Pattern Summarisation Using Code Features, which presents a novel approach to automatic summarisation of software design patterns.
• DocAgent: A Multi-Agent System for Automated Code Documentation Generation, which introduces a collaborative system for generating high-quality code documentation.