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Articles by Vuong Ngo in the Journal.
25 articles
10 articles on this page
Easier prompting earns investigation. I would back a stack rewrite when accepted changes beat a better existing workflow enough to justify transition and support.
Five practical Claude Fable 5.1 and Claude Mythos 5.1 workflows, plus an honest comparison of prompt caching, Ponytail, Caveman, and RTK token savings.
Compare DeepSeek Harness and Pi coding agent by architecture, MCP support, approvals, sandboxing, and session evidence. Choose the operating burden your team can own.
A mock LLM server returns controlled model responses locally so tests stay fast and deterministic. Here is when to use one, what it needs to simulate, and what it cannot tell you.
A practical guide to Claude Code on Pro and Max after Opus 5: pick model tier and effort level by task shape, commit routing to subagents, and pace against limits Anthropic does not publish.
Learn to change Codex thinking effort in the CLI and IDE. Compare supported levels and Max vs Ultra, then choose a model and diagnose when to raise effort.
Use MCP to connect ChatGPT, Claude, Cursor, and Codex to the same project board, then keep the board as the narrow source of truth for scope, status, evidence, and next action.
Your team does not need another model ranking. It needs to decide where control lives, who owns shared state, and when MCP-connected project state becomes the missing layer.
Spec-driven development tools are not converging on one winner. The useful decision is where durable project memory lives after the AI session ends: in specs, in git, or in an external MCP-connected board.
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