Tag: software-engineering
Page 39 of 52 • 566 posts total
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Cursor: Learning to write intent in comments, not in chat
A field-tested take on learning to write intent in comments, not in chat with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Honest cost of long-context prompts in a small team
A field-tested take on the honest cost of long-context prompts in a small team with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Small playbook that made Codex predictable
A field-tested take on the small playbook that made Codex predictable with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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Claude Code: Moment Claude Code beat a human reviewer on taste
A field-tested take on the moment Claude Code beat a human reviewer on taste with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: First model switch inside Copilot Chat, and what it taught us
A field-tested take on the first model switch inside Copilot Chat, and what it taught us with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Air-gapped development as a serious practice, not a demo
A field-tested take on air-gapped development as a serious practice, not a demo with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: First PR an agent opened that we merged without edits
A field-tested take on the first PR an agent opened that we merged without edits with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: What the protocol gave us and what our product still had to
A field-tested take on what the protocol gave us and what our product still had to with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: First retrospective on what AI did and did not change
A field-tested take on a first retrospective on what AI did and did not change 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: First prompt rot we detected, and the lessons from it
A field-tested take on the first prompt rot we detected, and the lessons from it 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: Quiet pleasure of reading every tool call
A field-tested take on the quiet pleasure of reading every tool call with Cline and Roo Code: what it rewards, where it breaks, and how to keep the workflow honest.