Tag: software-engineering
Page 2 of 48 • 518 posts total
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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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Local LLMs with Ollama: Sunday-afternoon project: your own code reviewer that runs offline
A field-tested take on a Sunday-afternoon project: your own code reviewer that runs offline with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Building trust with agents the way you build it with juniors
A field-tested take on building trust with agents the way you build it with juniors with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Where the protocol ends and your product begins
A field-tested take on where the protocol ends and your product begins with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: Resting the agent: when taking the keyboard back beats another turn
A field-tested take on resting the agent: when taking the keyboard back beats another turn 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: When to stop prompting and start coding
A field-tested take on when to stop prompting and start coding 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: Treating the agent as a shell you can still read
A field-tested take on treating the agent as a shell you can still read 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: AI that respects your refactoring history instead of fighting it
A field-tested take on AI that respects your refactoring history instead of fighting it with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Windsurf: Turning agent output into atomic, reviewable commits
A field-tested take on turning agent output into atomic, reviewable commits with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: Using MCP inside Cursor to give the agent a real toolbox
A field-tested take on using MCP inside Cursor to give the agent a real toolbox with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Separating research (AI Studio) from execution (Code Assist) on purpose
A field-tested take on separating research (AI Studio) from execution (Code Assist) on purpose with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.