ARTICLES

GitHub Copilot now includes Kimi K2.7 Code, offering developers a highly cost-effective and powerful new option for their daily coding workflows.

Before you can calmly architect systems that serve millions, you must first survive the horror of deleting your company’s production database with a single git push --force.

By automating tedious chores and adapting to your workflow across the editor, terminal, desktop, and background tasks, the GitHub Copilot ecosystem acts as a complete development partner that frees you up to focus entirely on building great software.

Here is a consolidated, high-level summary of the entire modern AI development landscape, categorized by platform type, core philosophy, and best use case.

The aaronontheweb/dotnet-skills repository encapsulates procedural knowledge and production-tested .NET design patterns into a specialized plugin/agent system to optimize context and reasoning capabilities for AI coding assistants.

When choosing a TypeScript ORM, the decision between TypeORM and Prisma ORM comes down to a fundamental choice: do you want deep control over your raw SQL structure, or do you want a highly automated, type-safe developer experience?

To succeed in the AI era, you must shift from a "coding-for-hire" mindset to becoming an "architect" who masters foundations and orchestrates systems.

I'm seeing too many dev teams treat AI like an open tab. If you’re using GitHub Copilot CLI, you need to use the right tool for the job to keep costs down

LLM-driven coding triggers an "entropy explosion," shifting the bottleneck from creation to delivery. DevOps must adopt policy-as-code and Platform Engineering to manage increased velocity, complexity, and technical debt.

Combine Copilot’s automated testing and PR summaries with human-in-the-loop oversight.

Confused by all the new AI coding tools? Here is a simple breakdown

Want to see the "behind the scenes" of the aloka.tech migration?