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Found 11 results for "experiment"

The Flow-State Experiment: Measuring Papercuts in AI Coding Tools

A systematic comparison of Claude Code, Codex CLI, and Gemini CLI measuring the small friction points that disrupt developer flow. Our experiments reveal fundamental differences in how these tools handle mid-task corrections and context.

February 5, 202612 min read

#ai-coding#claude-code#codex-cli

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🔮Vibe Coding

Few-Shot Prompting for STEM: Claude vs Gemini Across 128 Experiments

We ran 128 experiments comparing Claude Sonnet 4 and Gemini 2.0 Flash on STEM problems with zero-shot through 5-shot prompting. The results challenge common assumptions: accuracy stayed flat while format consistency and token efficiency improved dramatically.

January 21, 202615 min read

#few-shot prompting#STEM education#prompt engineering

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🔮Vibe Coding

Testing LLM Reasoning on Novel Problems: What 400 Experiments Reveal

We ran 400 experiments on competitive programming problems LLMs have never seen before. The results reveal that when memorization is eliminated, prompt formatting matters far less than model selection.

January 16, 202611 min read

#vibe-coding#LLM-benchmarks#novel-problems

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🔮Vibe Coding

Temperature Sensitivity in LLM Code Generation: A 752-Run Experiment

We tested how temperature (0, 0.3, 0.7, 1.0) affects code generation accuracy on 100 competitive programming problems. The surprising result: temperature barely matters for problem-solving, but model selection does.

January 25, 202610 min read

#vibe coding#LLM temperature#Gemini

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🔮Vibe Coding

The Idiomatic Code Audit: Do AI Tools Write Modern Code?

Testing whether Claude Code, Codex CLI, and Gemini CLI produce modern, idiomatic, and secure code by default. Our experiments reveal a critical gap in library version awareness.

February 5, 202610 min read

#ai-coding#claude-code#codex-cli

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🔮Vibe Coding

Screenshot-to-Code vs. Specs-Driven Development: The 2026 Design Handoff Evolution

A real-world experiment reveals the profound gap between AI visual approximation and production-ready code. Learn why context pipelines are the future of design-to-code workflows.

January 9, 20268 min read

#vibe coding#AI development#design systems

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🔮Vibe Coding

Can You Teach an AI How to Think? Testing Elaborate Reasoning Protocols on Claude Code

We gave Claude Code a 365-line protocol teaching it to think like an ICPC World Finalist. After 300 experiments, the elaborate methodology provided zero improvement over a simple "solve this problem" prompt—but the reasons why reveal something important about agentic AI.

January 27, 202610 min read

#vibe-coding#Claude-Code#agentic-AI

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🔮Vibe Coding

XML vs Natural Language Prompts: An Experimental Comparison

We tested XML-structured versus natural language prompts across 144 experiments spanning code generation, mathematics, reasoning, and complex multi-step tasks. The results reveal significant efficiency gains—but with important caveats.

January 15, 20269 min read

#vibe-coding#prompt-engineering#XML-prompts

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🔮Vibe Coding

The Full Papercut Audit: Where AI Coding Tools Break Down

A comprehensive friction analysis across five dimensions: bracket completion, comment verbosity, over-engineering, multi-file projects, and iterative modification. Gemini CLI achieves perfect zero friction.

February 5, 202612 min read

#ai-coding#claude-code#codex-cli

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🔮Vibe Coding

The Hidden Cost of "Ship It Fast": When Velocity Becomes Technical Debt

A post-mortem on vibe coding—the practice of prioritizing momentum over maintainability. Learn why shipping fast without foundations is the most expensive shortcut you'll ever take, and how to recover.

January 14, 202612 min read

#vibe-coding#technical-debt#software-engineering

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💻Tech Skills

Next.js Bundle Analyzer: Optimize Your Build Size

Learn how to use @next/bundle-analyzer to visualize and optimize your Next.js bundle size. Includes real optimization examples and case studies.

March 1, 202614 min read

#nextjs#performance#optimization