#ai-in-coding

[ follow ]
#software-development #developer-tools #productivity #ai-development #prompt-engineering #coding-skills #google
Artificial intelligence
fromInfoQ
1 month ago

Choosing Your AI Copilot: Maximizing Developer Productivity

Most developers are at an intermediate level of AI-assisted coding, with around 50% generating little to no code using AI.
#software-development
more#software-development
Artificial intelligence
fromFuturism
5 months ago

Top Software Engineering Students Can't Get a Job Because of AI

Elite computer science graduates face steep barriers to entry-level software engineering jobs as firms reduce junior hiring and lean on AI coding tools.
Tech industry
fromTechCrunch
9 months ago

Discover how developer tools are shifting fast at Disrupt 2025 | TechCrunch

Vibe coding is transforming how early-stage startups hire and build products through no-code and AI-assisted environments.
fromInfoWorld
9 months ago

Roo Code review: Autonomous AI-powered development in the IDE

Roo Code is an autonomous coding agent that integrates directly with IDEs, allowing developers to build applications through AI without needing to deeply understand the underlying code.
Web development
fromLuke Plant's home page
10 months ago

Why I'm not letting the juniors use GenAI for coding

Training junior developers without code assistants like Copilot is essential to ensure they understand the fundamentals of coding and problem-solving independently.
fromHackernoon
11 months ago

Copilot Agent Nails ASP.NET8 Task With Multilingual Schema and Mixed Stack | HackerNoon

The GitHub Copilot has improved significantly, generating error-free C# code by matching property names from other files, overcoming previous hallucination issues.
Artificial intelligence
Artificial intelligence
fromInfoQ
11 months ago

Developer Joy: A Better Way to Boost Developer Productivity

Developer joy fuels productivity; encouraging experimentation and breaks enhances problem-solving and learning.
Supporting developers' roles, including communication and collaboration, is essential for improved software quality.
Eliminating friction points like flaky tests and redundant meetings maximizes productivity.
AI-generated code lacks the nuance of human-authored code, necessitating careful review and coding standards.
[ Load more ]