Tag: software-engineering
Page 9 of 52 • 566 posts total
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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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Why Documentation Matters More Than Perfect Code
Discover why documentation often matters more than code perfection. This guide explores the real costs of undocumented systems, practical documentation.
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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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Technical Debt: How It Arises and How to Realistically Pay It Off
Learn how technical debt accumulates in software projects and discover practical strategies for paying it down. This guide covers debt types, measurement.
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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.
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Prompt engineering for code: Few-shot examples that teach taste, not just format
A field-tested take on few-shot examples that teach taste, not just format 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: Logging every turn so you can learn from the agent, not just use it
A field-tested take on logging every turn so you can learn from the agent, not just use it with Cline and Roo Code: what it rewards, where it breaks, and how to keep the workflow honest.