Tag: ai-coding
Page 17 of 48 • 521 posts total
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JetBrains AI Assistant: First safe refactor that felt genuinely new
A field-tested take on the first safe refactor that felt genuinely new with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Windsurf: Onboarding a new hire with Windsurf already installed
A field-tested take on onboarding a new hire with Windsurf already installed with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: First code review after a heavy Cursor day
A field-tested take on the first code review after a heavy Cursor day with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: First attempt at Vertex evaluations for code tasks
A field-tested take on a first attempt at Vertex evaluations for code tasks with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: Measuring what Codex actually merged, not what it attempted
A field-tested take on measuring what Codex actually merged, not what it attempted with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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Claude Code: Learning to pause the agent on purpose
A field-tested take on learning to pause the agent on purpose with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Onboarding a junior engineer with Copilot already in the seat
A field-tested take on onboarding a junior engineer with Copilot already in the seat with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Cost-per-token in wall time, discovered by accident
A field-tested take on cost-per-token in wall time, discovered by accident with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Deliberate agent downtime as an early productivity discovery
A field-tested take on deliberate agent downtime as an early productivity discovery with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Teaching the team MCP through a single example server
A field-tested take on teaching the team MCP through a single example server with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: Daily checklist that outlasted two tool migrations
A field-tested take on the daily checklist that outlasted two tool migrations with AI coding workflows: what it rewards, where it breaks, and how to keep the workflow honest.