Autonomous Intelligent Software Development
This addresses the challenge of automating software creation for developers, though it appears incremental as a proof-of-concept.
The paper tackles the problem of autonomous software development by introducing AIDA, an agent that interprets requirements via a semantic knowledge graph and generates source code, with the system learning and improving efficiency over time.
We present an overview of the design and first proof-of-concept implementation for AIDA, an autonomous intelligent developer agent that develops software from scratch. AIDA takes a software requirements specification and uses reasoning over a semantic knowledge graph to interpret the requirements, then designs and writes software to satisfy them. AIDA uses both declarative and procedural knowledge in the core domains of data, algorithms, and code, plus some general knowledge. The reasoning codebase uses this knowledge to identify needed components, then designs and builds the necessary information structures around them that become the software. These structures, the motivating requirements, and the resulting source code itself are all new knowledge that are added to the knowledge graph, becoming available for future reasoning. In this way, AIDA also learns as she writes code and becomes more efficient when writing subsequent code.