Tag: ai-coding
Page 2 of 6 • 66 posts total
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AI coding workflows: Writing acceptance tests first, agents second
A field-tested take on writing acceptance tests first, agents second 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: Diffing prompts the way you diff code
A field-tested take on diffing prompts the way you diff code 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: Why open-source agents are a better teacher than closed ones
A field-tested take on why open-source agents are a better teacher than closed ones 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: Resisting the urge to turn every green inspection into an agent task
A field-tested take on resisting the urge to turn every green inspection into an agent task with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Using long context to write migration scripts that respect every edge
A field-tested take on using long context to write migration scripts that respect every edge with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Splitting epics into Codex-sized tasks on purpose
A field-tested take on splitting epics into Codex-sized tasks on purpose with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Underrated power of /explain on legacy code no one dares to touch
A field-tested take on the underrated power of /explain on legacy code no one dares to touch with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: When a local 7B beats a cloud 70B in latency-sensitive loops
A field-tested take on when a local 7B beats a cloud 70B in latency-sensitive loops 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: Treating diffs as the primary artefact, chat as exhaust
A field-tested take on treating diffs as the primary artefact, chat as exhaust 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: How to write a system prompt you can still read in six months
A field-tested take on how to write a system prompt you can still read in six months 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: Roo modes that codify team-specific workflows
A field-tested take on Roo modes that codify team-specific workflows with Cline and Roo Code: what it rewards, where it breaks, and how to keep the workflow honest.