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How Andrej Karpathy’s minimalist codebase demolishes bloated LLM infrastructure with brutal efficiency.
Software engineers confess that ‘vibe coding’ with AI assistants like Cursor is making programming tedious and creatively bankrupt, is technical craftsmanship dying?
A reality check for developers who reach for distributed systems before they’ve earned them
GitHub, Google, and Anthropic are betting big on terminal AI assistants. But which CLI actually delivers on the promise of AI-driven development?
Why this DevOps ‘bible’ still resonates with IT managers while leaving product teams scratching their heads.
Raspberry Pi and friends promise cheap edge computing, but the DevOps reality hits harder than a kernel panic.
SWE-rebench results reveal Claude’s decisive 55.1% pass@5 advantage and unique bug-fixing capabilities that left OpenAI’s flagship coding model behind
The eternal database battle, seen through a librarian’s weary eyes, how to choose between clean data and fast queries
Powerful free tools like Affinity Studio struggle because simplicity alone can’t overcome deep-seated user apprehension about support and reliability.
As LLMs spew unread code into production, teams face a new kind of technical debt where systems work but no human understands them.
Six months ago, Anthropic’s CEO promised AI would write 90% of code. This prediction spectacularly failed to materialize.
A brutal case study comparing Java streaming approaches against modern tools like DuckDB and Spark for massive data ingestion, revealing why traditional methods are costing you time and sanity.
