Tag: ai-coding
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ChatGPT Codex: Catching silent test skips before they ship to main
A field-tested take on catching silent test skips before they ship to main with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Measuring acceptance rate honestly instead of celebrating vanity metrics
A field-tested take on measuring acceptance rate honestly instead of celebrating vanity metrics with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: RAG over internal docs without handing them to a third party
A field-tested take on RAG over internal docs without handing them to a third party 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: Rescue patterns when an agent has gone off the rails
A field-tested take on rescue patterns when an agent has gone off the rails 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: Few-shot examples that teach taste, not just format
A field-tested take on few-shot examples that teach taste, not just format 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: Logging every turn so you can learn from the agent, not just use it
A field-tested take on logging every turn so you can learn from the agent, not just use it 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: Overlooked value of structural search and replace
A field-tested take on the overlooked value of structural search and replace with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Keeping answers tight with explicit output contracts
A field-tested take on keeping answers tight with explicit output contracts with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Treating Codex as a junior engineer with an infinite patience budget
A field-tested take on treating Codex as a junior engineer with an infinite patience budget with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Leaning on Copilot Edits for multi-file, reviewable diffs instead of raw chat
A field-tested take on leaning on Copilot Edits for multi-file, reviewable diffs instead of raw chat with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Caching embeddings locally for a private retrieval layer
A field-tested take on caching embeddings locally for a private retrieval layer with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.