Tag: developer-productivity
Page 2 of 3 • 24 posts total
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Prompt engineering for code: Structured outputs: JSON schemas that keep agents honest
A field-tested take on structured outputs: JSON schemas that keep agents honest with Prompt engineering for code: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Planning outputs as the real product of the first turn
A field-tested take on planning outputs as the real product of the first turn with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: Pair-with-AI rituals that survive a team of ten
A field-tested take on pair-with-AI rituals that survive a team of ten 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: Difference between role prompts and persona cosplay
A field-tested take on the difference between role prompts and persona cosplay with Prompt engineering for code: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: What to log when an agent writes for you
A field-tested take on what to log when an agent writes for you with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: Daily shutdown routine that actually ships code
A field-tested take on a daily shutdown routine that actually ships code 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: Turning specs into prompts without losing the nuance
A field-tested take on turning specs into prompts without losing the nuance with Prompt engineering for code: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Difference between an agent and a slow script
A field-tested take on the difference between an agent and a slow script with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: Small reversible steps instead of one heroic prompt
A field-tested take on small reversible steps instead of one heroic prompt 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: Acceptance criteria as the only prompt that matters
A field-tested take on acceptance criteria as the only prompt that matters with Prompt engineering for code: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Budgets as the only feature that stops a bad loop
A field-tested take on budgets as the only feature that stops a bad loop with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.