Tag: ai-coding
Page 16 of 48 • 521 posts total
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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.
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Agentic coding: Retrospective after our first week of full agentic coding
A field-tested take on the retrospective after our first week of full agentic coding with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Testing MCP servers with the same rigor as customer-facing APIs
A field-tested take on testing MCP servers with the same rigor as customer-facing APIs with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: When taking the keyboard back was the real productivity move
A field-tested take on when taking the keyboard back was the real productivity move 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: Honest taxonomy of prompts, as discovered in practice
A field-tested take on the honest taxonomy of prompts, as discovered in practice 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: Plan mode budget that caught a runaway loop early
A field-tested take on a plan mode budget that caught a runaway loop early with Cline and Roo Code: what it rewards, where it breaks, and how to keep the workflow honest.