Tag: ai-coding
Page 15 of 48 • 521 posts total
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Claude Code: Planning mode as a cheap insurance policy against cascading edits
A field-tested take on planning mode as a cheap insurance policy against cascading edits with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Using the @workspace agent to plan multi-file refactors before a single line is written
A field-tested take on using the @workspace agent to plan multi-file refactors before a single line is written with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: First honest week with GitHub Copilot on a real codebase
A field-tested take on the first honest week with GitHub Copilot on a real codebase with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Teaching a team to trust a model they own end to end
A field-tested take on teaching a team to trust a model they own end to end with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: What agentic coding taught us about how we really work
A field-tested take on what agentic coding taught us about how we really work with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: First comparison between MCP and home-grown tool plumbing
A field-tested take on a first comparison between MCP and home-grown tool plumbing with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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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.