A practical guide to working effectively with AI coding assistants (chat interfaces, in-editor extensions, agentic tools) for engineers and scientists solving problems with code rather than building production software. Seven sections: - 01-three-modes: web chat vs in-editor vs agentic, with heuristics for choosing and a framing of chat as natural-language programming. - 02-errors-and-logs: the canonical copy-paste case; framing the paste for useful answers. - 03-in-editor-workflow: autocomplete, inline edit, side panel, quick actions; habits that survive tool changes. - 04-conversations: multi-turn discussions, context-window awareness, opening well, prompt iteration, when to start fresh. - 05-agentic-workflow: variations on the basic loop (sub-agents, plan mode, async, MCP, sandboxing); briefing, supervision, damage control, cost and energy. - 06-verifying-and-citing: hallucinations and silent errors; privacy framed against the cloud-services baseline; proportional disclosure norms. - 07-local-models: local models as a cross-cutting alternative across all three modes; hardware tiers, tool support, capability gap. Tool-agnostic where possible; current tool examples are illustrative and expected to date. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
21 lines
1.1 KiB
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21 lines
1.1 KiB
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MIT License
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Copyright (c) 2026 Eric M. Furst, University of Delaware
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Permission is hereby granted, free of charge, to any person obtaining a copy
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