Tag: software-engineering
Page 5 of 52 • 565 posts total
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Claude Code: Using sub-agents for parallel research across a large codebase
A field-tested take on using sub-agents for parallel research across a large codebase with Claude Code: 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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Agentic coding: Budgets as the only feature that stops a bad loop
A field-tested take on budgets as the only feature that stops a bad loop with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Smallest MCP server that earns its keep
A field-tested take on the smallest MCP server that earns its keep with MCP servers: 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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Windsurf: Cascade as a deliberate planning surface, not an auto-pilot
A field-tested take on Cascade as a deliberate planning surface, not an auto-pilot with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: Writing .cursorrules that actually stay short and enforceable
A field-tested take on writing .cursorrules that actually stay short and enforceable with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.