Coding After Coders: The End of Computer Programming as We Know It

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

I bombed my first interview at Google so badly that it took 3 years to get another one. Here's what I learned.

Andrew Yeung's career story reveals key interview lessons and how embracing authenticity led to success in tech and entrepreneurship.
IEEE

Automatic programming via large language models with population self-evolution for dynamic fuzzy job shop scheduling problem

Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem (DFJSSP). However, their performance is highly sensitive to specific scenarios ...
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These data structures solve problems most code still struggles with

Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful systems rely on designs that rarely appear in traditional programming ...

This Pixel Art Game Solves 1 of AI Coding’s Most Annoying Problems

While it looks like an adorable 8-bit video game, Pixel Agents is not something you can play. Rather, it transforms the user experience of coding with Anthropic ’s Claude Code agentic AIs by turning ...
IEEE

Constraint Programming Based Model and Algorithm for Solving Steelmaking and Continuous Casting Scheduling Problem with Adjustable Casting Time

Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...