To date, vibe coding platforms have largely relied on existing large language models (LLMs) to help write code. However, writing code is only one of many different tasks developers need to perform to ...

2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...

Dario Amodei, CEO of the California-based AI company Anthropic, made a bold prediction about the future of software engineering, suggesting that AI models could soon take over most, if not all, tasks ...

Model-Driven Software Engineering (MDSE) represents a paradigm shift in software development whereby models serve as the principal artefacts throughout the lifecycle of an application. By elevating ...

Artificial intelligence and machine learning are changing how businesses operate. Enterprises are amassing a vast amount of data, which is being used within AI and ML models to automate and improve ...

Large language models (LLMs) may have changed software development, but enterprises will need to think twice about entirely replacing human software engineers with LLMs, despite OpenAI CEO Sam ...

Engineers who understand how to impose structure around model behavior play a critical role in turning experimental workflows ...

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With over a decade of experience in the software industry, Chuanrui Li has closely observed and actively participated in the transformative impact of artificial intelligence on the field of software ...

Software pricing is moving to outcome-based models. Users and vendors need to agree on success metrics. The nature of software engineering work is evolving. In the year ahead, your relationship with ...