Tag: ai-coding
Page 5 of 6 • 66 posts total
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Prompt engineering for code: Turning specs into prompts without losing the nuance
A field-tested take on turning specs into prompts without losing the nuance 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 dry run before committing budget
A field-tested take on plan mode as a cheap dry run before committing budget 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: Using inspections as invisible rails for the agent
A field-tested take on using inspections as invisible rails for the agent with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Using Gemini CLI as glue between Cloud Run and your local repo
A field-tested take on using Gemini CLI as glue between Cloud Run and your local repo with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Using AGENTS.md to describe the environment the sandbox must respect
A field-tested take on using AGENTS.md to describe the environment the sandbox must respect with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Running Copilot CLI as a scriptable review step inside pre-commit hooks
A field-tested take on running Copilot CLI as a scriptable review step inside pre-commit hooks with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Keeping a small local model honest with tight prompts
A field-tested take on keeping a small local model honest with tight prompts with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: Small reversible steps instead of one heroic prompt
A field-tested take on small reversible steps instead of one heroic prompt 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: Acceptance criteria as the only prompt that matters
A field-tested take on acceptance criteria as the only prompt that matters 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: Auditing every tool call before it touches a file
A field-tested take on auditing every tool call before it touches a file 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: Refactorings that remain safe because JetBrains understands types
A field-tested take on refactorings that remain safe because JetBrains understands types with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.