Dev.to VibeCoding
Practicing programming remains essential despite AI advancements. True learning speed depends on personal effort, not technology.
35%
Companies using AI in production
Career takeaway: Focus on practical AI implementation skills, not just model development.
Dev.to VibeCoding
Practicing programming remains essential despite AI advancements. True learning speed depends on personal effort, not technology.
Dev.to VibeCoding
I created a Cursor rule set to generate production-ready .NET Core Background Worker projects with clean architecture, logging, Docker, and resilience patterns. The key rule: avoid reinventing the wheel—use proven patterns like BackgroundService, Serilog, and Polly for reliability.
Dev.to VibeCoding
GitHub Spec Kit enforces structured AI planning with 104K stars, replacing unstructured "vibe coding" via a spec-to-implement pipeline. It uses six slash commands to define principles, requirements, clarifications, tech stack, tasks, and specs.
The Hacker News
Monday recap. Same mess, new week. A sketchy dev tool got people pwned, old bugs came back from the dead, and security products somehow needed protecting from themselves. A bunch of companies spent t…
The Hacker News
Threat actors are exploiting a recently disclosed critical security flaw in Ghost CMS to inject malicious JavaScript code with an aim to fuel ClickFix attacks. According to QiAnXin XLab, the activity…
"The nine-year-old startup is replacing hundreds of employees with thousands of AI agents."
— Marina Temkin, @ TechCrunch
Read full sourceAccording to the article, what does the author say determines true learning speed in programming?
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