Tag: ai-coding
Page 4 of 48 • 520 posts total
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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.
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ChatGPT Codex: Replaying failed tasks with tighter prompts instead of starting over
A field-tested take on replaying failed tasks with tighter prompts instead of starting over with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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Claude Code: Running Claude Code headlessly in CI as a structured reviewer
A field-tested take on running Claude Code headlessly in CI as a structured reviewer with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Wiring MCP servers into Copilot to give it domain-specific tools
A field-tested take on wiring MCP servers into Copilot to give it domain-specific tools with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Quantisation choices that actually matter for code
A field-tested take on quantisation choices that actually matter for code with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Why short agent loops beat heroic ones
A field-tested take on why short agent loops beat heroic ones with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Sandboxing MCP tool calls so one bad prompt cannot ruin a week
A field-tested take on sandboxing MCP tool calls so one bad prompt cannot ruin a week with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: Time-boxing agent loops before they eat the day
A field-tested take on time-boxing agent loops before they eat the day 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: Prompts as contracts, not wishes
A field-tested take on prompts as contracts, not wishes 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: Memory banks that outlive a single session
A field-tested take on memory banks that outlive a single session with Cline and Roo Code: what it rewards, where it breaks, and how to keep the workflow honest.