How Large Language Models Are Transforming Software Engineering: Current State and Future Outlook

The article surveys recent research on large language models for software engineering, detailing model architectures, pre‑training adaptations, and their impact across the five software‑life‑cycle stages, while highlighting challenges such as deployment cost, benchmark contamination, multimodal extensions, and security‑governance issues.

AI for CodeModel DeploymentPrompt Engineering

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How Large Language Models Are Transforming Software Engineering: Current State and Future Outlook

Continuous Delivery 2.0

Jul 2, 2024 · Artificial Intelligence

Dynamic Integrated Developer Activity (DIDACT): Large Sequence Models for Software Development

The article introduces DIDACT, a large‑scale multitask machine‑learning framework that trains on the full software‑development workflow—including edits, builds, reviews, and tool interactions—to create AI assistants that can predict and suggest developer actions throughout the coding process.

AI for Codedeveloper assistancelarge language models

0 likes · 11 min read

Dynamic Integrated Developer Activity (DIDACT): Large Sequence Models for Software Development

NewBeeNLP

Apr 18, 2024 · Artificial Intelligence

What Drives Neural Code Intelligence? A Deep Dive into Models, Datasets, and Future Directions

This article surveys the rapidly evolving field of Neural Code Intelligence, outlining its historical paradigms, key code models from RNNs to large language models, essential datasets and benchmarks, cross‑domain collaborations, practical applications, and promising research directions.

AI for CodeNeural Code Intelligencebenchmarks

0 likes · 8 min read

What Drives Neural Code Intelligence? A Deep Dive into Models, Datasets, and Future Directions