Author
Articles by Vuong Ngo in the Journal.
25 articles
10 articles on this page
A Claude Code project board is a shared MCP-readable system of record for scope, decisions, tasks, artifacts, and workflow locks. Here is when local memory is enough, when it stops scaling, and how Agiflow keeps state durable across sessions.
AI agent secrets management starts by shrinking what the agent host can see, then moving raw values into runtime delivery or workload identity when the task needs stronger boundaries.
MCP project management tools are forming around durable project state for external AI assistants. Here is the launch evidence, safety checklist, and where Agiflow fits.
AI coding agents lose context when the prompt becomes both working memory and system of record. The durable fix is task state: scope, criteria, tests, status, artifacts, and handoff notes.
More AI coding agents only help when ownership, state, and proof survive outside a single session. This refreshed guide shows how Agiflow uses CLI runners, workflow locks, atomic claims, device identity, and artifacts to coordinate agent work across machines without duplicate branches or lost handoffs.
A practical guide to Claude Code and Codex orchestration, with role boundaries, evidence-based handoff contracts, MCP project state, and verification gates.
AI coding agents generate better frontend code when the codebase gives them reusable components, Storybook states, design tokens, scaffolds, validation gates, and durable task context they can retrieve instead of reinventing.
Token efficiency is a tool-architecture problem, not just prompt hygiene. Use Agiflow benchmark data, MCP guidance, and production measurement rules to reduce AI coding token use without hiding reliability costs.
AI coding agents do not need a longer chat transcript to finish multi-task features. They need a durable work unit that keeps scope, tasks, acceptance criteria, artifacts, decisions, and locks outside the model context window and available through scoped MCP access.
A July 2026 refresh of Claude Code internals, separating official docs, first-party network traces, third-party analysis, and practical inference across CLAUDE.md, skills, hooks, subagents, plugins, and MCP.
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