Tag: ai-coding
Page 6 of 6 • 66 posts total
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Google Gemini: Debugging a production incident from a screenshot and a log bundle
A field-tested take on debugging a production incident from a screenshot and a log bundle with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Scoping tasks tightly enough that the agent can finish in one pass
A field-tested take on scoping tasks tightly enough that the agent can finish in one pass with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Pairing inline completion with a custom instructions file to enforce house style
A field-tested take on pairing inline completion with a custom instructions file to enforce house style 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 the specific task, not for the benchmark
A field-tested take on picking a local model for the specific task, not for the benchmark 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: Review cycle that keeps agent output honest
A field-tested take on the review cycle that keeps agent output honest 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: Shortest prompt that still passes review
A field-tested take on the shortest prompt that still passes review 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: Picking a model per task instead of per editor
A field-tested take on picking a model per task instead of per editor 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: Letting Junie drive while the IDE still owns correctness
A field-tested take on letting Junie drive while the IDE still owns correctness with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Feeding an entire service plus its tests into a single prompt
A field-tested take on feeding an entire service plus its tests into a single prompt with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Letting Codex open the PR while you stay the reviewer of record
A field-tested take on letting Codex open the PR while you stay the reviewer of record with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Using the @workspace agent to plan multi-file refactors before a single line is written
A field-tested take on using the @workspace agent to plan multi-file refactors before a single line is written with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.