Tag: ai-coding
Page 4 of 6 • 66 posts total
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GitHub Copilot: Constraining the agent with .github/copilot-instructions.md for reproducible behaviour
A field-tested take on constraining the agent with .github/copilot-instructions.md for reproducible behaviour with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Running evals locally before trusting a new model
A field-tested take on running evals locally before trusting a new model 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: Pair-with-AI rituals that survive a team of ten
A field-tested take on pair-with-AI rituals that survive a team of ten 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: Difference between role prompts and persona cosplay
A field-tested take on the difference between role prompts and persona cosplay 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: Routing cheap models for boilerplate, frontier models for design
A field-tested take on routing cheap models for boilerplate, frontier models for design 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: Scoping Junie tasks by module to keep review tractable
A field-tested take on scoping Junie tasks by module to keep review tractable with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Auditing IAM policies with a million-token sweep over Terraform
A field-tested take on auditing IAM policies with a million-token sweep over Terraform with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Parallelising bug-fix attempts and picking the cleanest patch
A field-tested take on parallelising bug-fix attempts and picking the cleanest patch with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Switching models mid-conversation when reasoning quality starts to degrade
A field-tested take on switching models mid-conversation when reasoning quality starts to degrade with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Pairing Ollama with Continue or Cline for a private IDE
A field-tested take on pairing Ollama with Continue or Cline for a private IDE 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: Daily shutdown routine that actually ships code
A field-tested take on a daily shutdown routine that actually ships code with AI coding workflows: what it rewards, where it breaks, and how to keep the workflow honest.