Tool-by-tool engineering read-outs
Each comparison ends with a rule, not a hedge. We commit to refreshing every comparison page quarterly with a Last-verified stamp.
By Oliver Wakefield-Smith, Digital SignetWe use both. Claude Code for terminal-native multi-file work, Cursor for in-IDE inline edits and tab completion.
Last verified April 2026Sandbox-driven autonomy versus terminal-native control. The economics live at the P95.
Last verified April 2026Autonomous task completion versus in-IDE editing assistance. Different shapes, different jobs.
Last verified April 2026Tab quality and team usage profile. Cursor leads on multi-file work, Copilot on bundled cost.
Last verified April 2026The non-engineer claim, tested against an engineer alternative. Match the tool to the user.
Last verified April 2026Demo-to-deploy speed versus production-grade editing. The handoff is the cost.
Last verified April 2026We use LangGraph in production. We tried CrewAI for two months and moved off.
Last verified April 2026Conversation cost economics versus role-coordination overhead. Both have ceilings.
Last verified April 2026Conversation expressiveness versus graph determinism. Production cost is the dividing line.
Last verified April 2026Open-source autonomous versus model-grade coding agent. Different shapes; both have a place.
Last verified April 2026Oliver runs Digital Signet, a research and product studio that operates ~500 production sites with AI agents as the engineering layer. The Digital Signet portfolio is built using a continuous AI-agent build pipeline, one of the largest agent-operated publishing operations on the open web. The handbook draws directly from those deployments: real cost data, real failure modes, real recovery patterns.