Tag: ai-coding
Page 45 of 48 • 519 posts total
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Prompt engineering for code: Structured outputs, discovered the hard way
A field-tested take on structured outputs, discovered the hard way 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: Plan mode as a cheap insurance policy from day one
A field-tested take on plan mode as a cheap insurance policy from day one 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: Structural search as the hidden rail for early prompts
A field-tested take on structural search as the hidden rail for early prompts with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Windsurf: Moment Windsurf made a skeptical reviewer pause
A field-tested take on the moment Windsurf made a skeptical reviewer pause with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: Agent mode as a faster, more honest pair programmer
A field-tested take on agent mode as a faster, more honest pair programmer with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Multimodal debugging with a single screenshot
A field-tested take on multimodal debugging with a single screenshot with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Sandbox surprises in the first month of Codex
A field-tested take on sandbox surprises in the first month of Codex with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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Claude Code: Planning mode as the training wheels we kept
A field-tested take on planning mode as the training wheels we kept with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: When inline completion earned its place in the daily loop
A field-tested take on when inline completion earned its place in the daily loop with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Picking a local model for code without benchmarks to lean on
A field-tested take on picking a local model for code without benchmarks to lean on with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Budgets as the first feature any agent had to have
A field-tested take on budgets as the first feature any agent had to have with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.