Tag: ai-coding
Page 32 of 48 • 520 posts total
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AI coding workflows: What we retired because an agent finally did it well
A field-tested take on what we retired because an agent finally did it well with AI coding workflows: what it rewards, where it breaks, and how to keep the workflow honest.
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Prompt engineering for code: Prompt engineering as writing, not programming
A field-tested take on prompt engineering as writing, not programming with Prompt engineering for code: what it rewards, where it breaks, and how to keep the workflow honest.
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Cline and Roo Code: Teaching juniors by pairing on Cline sessions
A field-tested take on teaching juniors by pairing on Cline sessions with Cline and Roo Code: what it rewards, where it breaks, and how to keep the workflow honest.
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JetBrains AI Assistant: Writing specs tight enough for Junie to execute cleanly
A field-tested take on writing specs tight enough for Junie to execute cleanly with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Windsurf: Retrospective after our first Windsurf-heavy sprint
A field-tested take on the retrospective after our first Windsurf-heavy sprint with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: Teaching Cursor the house style without a wall of prose
A field-tested take on teaching Cursor the house style without a wall of prose with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Gemini for Workspace as the quiet engineering multiplier
A field-tested take on Gemini for Workspace as the quiet engineering multiplier with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Pairing Codex with tight acceptance criteria for the first time
A field-tested take on pairing Codex with tight acceptance criteria for the first time with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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Claude Code: First pass at measuring Claude Code against ordinary coding
A field-tested take on a first pass at measuring Claude Code against ordinary coding with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Small refactor Copilot did not quite nail, and why it mattered
A field-tested take on the small refactor Copilot did not quite nail, and why it mattered with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: First honest benchmark between local and cloud models
A field-tested take on the first honest benchmark between local and cloud models with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.