Tag: ai-coding
Page 11 of 48 • 521 posts total
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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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Windsurf: Using write-mode sparingly to protect your muscle memory
A field-tested take on using write-mode sparingly to protect your muscle memory with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: Pairing tab with explicit intent comments to steer predictions
A field-tested take on pairing tab with explicit intent comments to steer predictions with Cursor: 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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Claude Code: Checkpointing long sessions to protect yourself from context rot
A field-tested take on checkpointing long sessions to protect yourself from context rot with Claude Code: 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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Agentic coding: What to log when an agent writes for you
A field-tested take on what to log when an agent writes for you with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Treating MCP servers as a supply chain, not a side project
A field-tested take on treating MCP servers as a supply chain, not a side project with MCP servers: 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.