Tag: ai-coding
Page 24 of 48 • 521 posts total
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Cline and Roo Code: Picking models per task with almost no data, and learning fast
A field-tested take on picking models per task with almost no data, and learning fast 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 Assistant versus plain inspections on the same codebase
A field-tested take on AI Assistant versus plain inspections on the same codebase with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Windsurf: First atomic commit authored entirely by Cascade
A field-tested take on the first atomic commit authored entirely by Cascade with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: First week we stopped fighting Cursor and let it drive
A field-tested take on the first week we stopped fighting Cursor and let it drive with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Mixing AI Studio and Code Assist without losing context
A field-tested take on mixing AI Studio and Code Assist without losing context with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: When Codex rewrote code we did not ask it to
A field-tested take on when Codex rewrote code we did not ask it to 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 on a legacy repo nobody wanted to touch
A field-tested take on running Claude Code on a legacy repo nobody wanted to touch with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: First .github/copilot-instructions.md that actually shipped
A field-tested take on the first .github/copilot-instructions.md that actually shipped with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Local evaluations that predicted our first cloud regression
A field-tested take on local evaluations that predicted our first cloud regression with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Short loops as the winning rhythm, discovered through long ones
A field-tested take on short loops as the winning rhythm, discovered through long ones with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Why we promoted an internal wiki to an MCP resource
A field-tested take on why we promoted an internal wiki to an MCP resource with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.