Tag: ai-coding
Page 5 of 48 • 520 posts total
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JetBrains AI Assistant: Pairing AI Assistant with Code With Me for remote reviews
A field-tested take on pairing AI Assistant with Code With Me for remote reviews with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Windsurf: Indexing strategies for a monorepo with generated code
A field-tested take on indexing strategies for a monorepo with generated code with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: Migrating a legacy module without losing git history or sanity
A field-tested take on migrating a legacy module without losing git history or sanity with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: Crossing modalities: log, screenshot, code, spec, all in one turn
A field-tested take on crossing modalities: log, screenshot, code, spec, all in one turn with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Catching silent test skips before they ship to main
A field-tested take on catching silent test skips before they ship to main with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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Claude Code: Composing slash commands into a bespoke team-specific DSL
A field-tested take on composing slash commands into a bespoke team-specific DSL with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Measuring acceptance rate honestly instead of celebrating vanity metrics
A field-tested take on measuring acceptance rate honestly instead of celebrating vanity metrics with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: RAG over internal docs without handing them to a third party
A field-tested take on RAG over internal docs without handing them to a third party with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Rollback plans for changes you did not watch land
A field-tested take on rollback plans for changes you did not watch land with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Versioning MCP servers like APIs, not like scripts
A field-tested take on versioning MCP servers like APIs, not like scripts with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: Rescue patterns when an agent has gone off the rails
A field-tested take on rescue patterns when an agent has gone off the rails with AI coding workflows: what it rewards, where it breaks, and how to keep the workflow honest.