Code Generation

AI assists software teams with code creation, code context, test generation, and related development tasks.

Business impact

• Coding productivity — AT&T reported coding-productivity gains averaging between 25% and 50%.
• Software and technology development productivity — JPMorgan Chase reported productivity in software and technology development of 10% to 20%.
• Development time — A Salesforce frontend engineer said CodeGenie halved his team’s development time.
• Coding-tool users — Qualcomm’s vendor case study reported over 1,000 coding-tool users.

Data requirements

• Source code (text) — The use case is centered on generating and converting code.
• Code context (text) — CodeGenie uses code context to support understanding and generation.
• Tests and pull-request content (text) — CodeGenie generates tests and pull-request summaries.

AI methods and techniques

• Code generation — The system drafts code for developers or assists with code creation.
• Code understanding — CodeGenie helps users understand code context before generating outputs.
• Test generation — CodeGenie generates tests alongside code.
• Summarization — CodeGenie prepares pull-request summaries.
• Code conversion — JPMorgan Chase uses AI coding assistance for converting code.

Industries

Real-world evidence

7 documented case studies on record.

Companies using this: AT&T, BMW, Capgemini, GE Aerospace, JPMorgan Chase, Qualcomm, Salesforce.