Tag: ai-coding
Page 37 of 48 • 520 posts total
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JetBrains AI Assistant: First CI run with Junie as a contributor
A field-tested take on the first CI run with Junie as a contributor with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
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Windsurf: First MCP server we plugged into Windsurf
A field-tested take on the first MCP server we plugged into Windsurf with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
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Cursor: Undoing Cursor changes on purpose, a first discipline
A field-tested take on undoing Cursor changes on purpose, a first discipline with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
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Google Gemini: When to ask Gemini and when to open the logs yourself
A field-tested take on when to ask Gemini and when to open the logs yourself with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
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ChatGPT Codex: First time we stopped Codex mid-task and why
A field-tested take on the first time we stopped Codex mid-task and why with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
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Claude Code: When headless Claude Code became part of our CI
A field-tested take on when headless Claude Code became part of our CI with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
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GitHub Copilot: Measuring Copilot adoption without lying to ourselves
A field-tested take on measuring Copilot adoption without lying to ourselves with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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Local LLMs with Ollama: Offline code reviewer that survived a flaky Wi-Fi week
A field-tested take on an offline code reviewer that survived a flaky Wi-Fi week with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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Agentic coding: Long-running agent that finally paused itself
A field-tested take on the long-running agent that finally paused itself with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
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MCP servers: Observability gaps that bit us exactly once
A field-tested take on observability gaps that bit us exactly once with MCP servers: what it rewards, where it breaks, and how to keep the workflow honest.
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AI coding workflows: Acceptance tests first, agents second, as a beginner mantra
A field-tested take on acceptance tests first, agents second, as a beginner mantra with AI coding workflows: what it rewards, where it breaks, and how to keep the workflow honest.