Tag: ai-coding
Page 3 of 6 • 66 posts total
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JetBrains AI Assistant: Writing specs as Markdown that Junie can consume
A field-tested take on writing specs as Markdown that Junie can consume with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Generating Mermaid architecture diagrams the agent can then critique
A field-tested take on generating Mermaid architecture diagrams the agent can then critique with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Auditing the diff, not the narrative – the code is the contract
A field-tested take on auditing the diff, not the narrative – the code is the contract with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Copilot Spaces as shared context libraries for team onboarding
A field-tested take on Copilot Spaces as shared context libraries for team onboarding with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Thermal budget of a MacBook pretending to be a server
A field-tested take on the thermal budget of a MacBook pretending to be a server 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: Scorecard question: did this PR have to exist?
A field-tested take on the scorecard question: did this PR have to exist? 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: Structured outputs: JSON schemas that keep agents honest
A field-tested take on structured outputs: JSON schemas that keep agents honest 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: Building an internal guardrails library on top of Cline
A field-tested take on building an internal guardrails library on top of Cline 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: When the IDE already knows the answer and the agent just needs to ask
A field-tested take on when the IDE already knows the answer and the agent just needs to ask with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Pairing Gemini with Code Assist for refactors that span a whole module
A field-tested take on pairing Gemini with Code Assist for refactors that span a whole module with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Keeping the human in the loop by requiring explicit acceptance
A field-tested take on keeping the human in the loop by requiring explicit acceptance with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.