Tag: ai-coding
Page 13 of 48 • 521 posts total
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MCP servers: Exposing read-only resources before you expose write actions
A field-tested take on exposing read-only resources before you expose write actions with MCP servers: 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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Cline and Roo Code: Auditing every tool call before it touches a file
A field-tested take on auditing every tool call before it touches a file 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: Refactorings that remain safe because JetBrains understands types
A field-tested take on refactorings that remain safe because JetBrains understands types with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Windsurf: Flows that preserve intent across a long refactor
A field-tested take on flows that preserve intent across a long refactor with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: Agent mode as a disciplined driver, not a replacement for review
A field-tested take on agent mode as a disciplined driver, not a replacement for review with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Debugging a production incident from a screenshot and a log bundle
A field-tested take on debugging a production incident from a screenshot and a log bundle with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Scoping tasks tightly enough that the agent can finish in one pass
A field-tested take on scoping tasks tightly enough that the agent can finish in one pass with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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Claude Code: Using sub-agents for parallel research across a large codebase
A field-tested take on using sub-agents for parallel research across a large codebase with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Pairing inline completion with a custom instructions file to enforce house style
A field-tested take on pairing inline completion with a custom instructions file to enforce house style with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.