Tag: ai-coding
Page 6 of 48 • 520 posts total
-
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.
-
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.
-
JetBrains AI Assistant: Overlooked value of structural search and replace
A field-tested take on the overlooked value of structural search and replace with JetBrains AI Assistant: what it rewards, where it breaks, and how to keep the workflow honest.
-
Windsurf: When to reach for Cascade and when to fall back to pure editing
A field-tested take on when to reach for Cascade and when to fall back to pure editing with Windsurf: what it rewards, where it breaks, and how to keep the workflow honest.
-
Cursor: Keeping tests running in the background while the agent edits
A field-tested take on keeping tests running in the background while the agent edits with Cursor: what it rewards, where it breaks, and how to keep the workflow honest.
-
Google Gemini: Keeping answers tight with explicit output contracts
A field-tested take on keeping answers tight with explicit output contracts with Google Gemini: what it rewards, where it breaks, and how to keep the workflow honest.
-
ChatGPT Codex: Treating Codex as a junior engineer with an infinite patience budget
A field-tested take on treating Codex as a junior engineer with an infinite patience budget with ChatGPT Codex: what it rewards, where it breaks, and how to keep the workflow honest.
-
Claude Code: Diffing agent output against main before you trust a single file
A field-tested take on diffing agent output against main before you trust a single file with Claude Code: what it rewards, where it breaks, and how to keep the workflow honest.
-
GitHub Copilot: Leaning on Copilot Edits for multi-file, reviewable diffs instead of raw chat
A field-tested take on leaning on Copilot Edits for multi-file, reviewable diffs instead of raw chat with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
-
Local LLMs with Ollama: Caching embeddings locally for a private retrieval layer
A field-tested take on caching embeddings locally for a private retrieval layer with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
-
Agentic coding: Honest case for agents that only suggest
A field-tested take on the honest case for agents that only suggest with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.