Project description
Enhancing software development with multi-agent large language models
AI can greatly enhance efficiency by automating repetitive tasks, reducing human error and processing vast amounts of data at speeds far beyond human capability. Even in the software development cycle, it is possible to design systems that simulate intelligent behaviour and make decisions based on data or predefined rules. The key objective of the EU-funded HIVEMIND project is to improve software development by supporting software development teams through AI, data and language technologies. To this end, LLM-based AI agents will provide specialised support in all steps of the software development lifecycle, assisting in requirements engineering, code development, verification and testing as well as in software maintenance. The resultant multi-agent framework will be open-source and applicable to various sectors.
Objective
HIVEMIND is an ambitious project aiming to advance responsible and human-centric software engineering methods, tools and best practices leveraging AI and data technologies to accelerate the whole software development lifecycle. To this end, the project introduces an adaptive LLM-based multi-agent framework that enables collaboration between human actors and multiple AI agents tailored to mirror and provide specialised support for the various roles within a traditional software development team. Each of the agents will be clearly defined and specialised through multiple modalities of model customisation encompassing i) Fine-tuning with organisational data, ii) Prompt-engineering, iii) Retrieval Augmented Generation, and iv) Human-in-the-loop Machine Learning. These agents will be crucial for the development of mechanisms that support smart system specification, allowing to automatically derive complex requirements and facilitating agile modelling while considering inconsistencies and ambiguities, reducing the number of modifications needed in later stages of the software development lifecycle. Furthermore, HIVEMIND is positioned to support design-by-contract programming at all levels of integration by increasing the context awareness of AI agents that assist code development, analysis, verification and testing, allowing them to access relevant documentation during the development process. Moreover, HIVEMIND extends beyond the development phase, providing comprehensive support for the entire software lifecycle, covering software maintenance, including for multi-architecture systems. It represents a synergistic effort, merging the expertise of leading EU software engineering academics, AI researchers and industry representatives into a unified open-source framework targeted to reach TRL5. To this end, the project addresses a range of societal and industrial sectors, aiming at validating the HIVEMIND technologies in 5 relevant environments.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
Keywords
Programme(s)
Call for proposal
(opens in new window) HORIZON-CL4-2024-DIGITAL-EMERGING-01
See other projects for this callFunding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
41300 La Rinconada
Spain