Before Code Generation - Search Videos

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X | Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X | Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation | Proceedings of the ACM on Software Engineering

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation | Proceedings of the ACM on Software Engineering

Investigating and Designing for Trust in AI-powered Code Generation Tools | Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency

Investigating and Designing for Trust in AI-powered Code Generation Tools | Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency

Phases of a Compiler - GeeksforGeeks

Phases of a Compiler - GeeksforGeeks

geeksforgeeks.org

COFFE: A Code Efficiency Benchmark for Code Generation | Proceedings of the ACM on Software Engineering

COFFE: A Code Efficiency Benchmark for Code Generation | Proceedings of the ACM on Software Engineering

An LLM-driven Framework for Dynamic Infrastructure as Code Generation | Proceedings of the 25th International Middleware Conference: Demos, Posters and Doctoral Symposium

An LLM-driven Framework for Dynamic Infrastructure as Code Generation | Proceedings of the 25th International Middleware Conference: Demos, Posters and Doctoral Symposium

Type-Constrained Code Generation with Language Models | Proceedings of the ACM on Programming Languages

Type-Constrained Code Generation with Language Models | Proceedings of the ACM on Programming Languages

LLM-Vectorizer: LLM-Based Verified Loop Vectorizer | Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization

ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification | Proceedings of the ACM on Software Engineering

Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models | Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems

From Code Generation to Conceptual Learning: Student Use of LLMs in a Web Programming Course | Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Polyhedral parallel code generation for CUDA | ACM Transactions on Architecture and Code Optimization

LLM-Based Code Generation Method for Golang Compiler Testing | Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Assessing the quality of GitHub copilot’s code generation | Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering

SecurityEval dataset: mining vulnerability examples to evaluate machine learning-based code generation techniques | Proceedings of the 1st International Workshop on Mining Software Repositories Applications for Privacy and Security

The creator of Claude Code Teaches more about vibe-coding in 30 minutes than most paid tutorials do in 10 hours.Absolutely Free. From the guy who built the tool.Save it. Watch tonight. It'll change how you build forever.You've been using Claude Code wrong for months without knowing it.This fixes that in 30 minutes.Follow @codewithimanshu for more high-signal content that actually moves your career forward.↓Boris runs technical staff at Anthropic. He built Claude Code. He just gave away the entir

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x.comHimanshu Kumar

Generation Z: transforming the system

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