Tag: software-engineering
Page 13 of 48 • 519 posts total
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JetBrains AI Assistant: Refactorings that remain safe because JetBrains understands types
A field-tested take on refactorings that remain safe because JetBrains understands types with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Windsurf: Flows that preserve intent across a long refactor
A field-tested take on flows that preserve intent across a long refactor with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: Agent mode as a disciplined driver, not a replacement for review
A field-tested take on agent mode as a disciplined driver, not a replacement for review with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Debugging a production incident from a screenshot and a log bundle
A field-tested take on debugging a production incident from a screenshot and a log bundle with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Scoping tasks tightly enough that the agent can finish in one pass
A field-tested take on scoping tasks tightly enough that the agent can finish in one pass with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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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.