Ai Native Development.
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Intent → Spec → Test on Salesforce: Where Each Layer Lives, From Sandbox to Production
How to apply Intent → Spec → Test on Salesforce: where must-nevers, rules and tests live, which tests run in which org, and how to guard risky metadata.
Anthropic's Scion vs Git: Why Anthropic Replaced Git, and What It Means for Your Team
Anthropic replaced Git in its monorepo with Scion after AI agents pushed merges past 30,000 a day. How Scion differs from Git, and what your team can borrow.
Intent → Spec → Test: Linking Must-Nevers to Held-Out Tests, and When Not To
How to link must-nevers to rules and hidden tests by ID, keep those tests out of an AI agent's reach, and use the model only where a mistake would be costly.
CLI vs MCP vs Purpose-Built Tools, and Skills vs Agents: Claude Code, Copilot and Agentforce Vibes Compared
How CLI, MCP and purpose-built tools compare on token cost, what skills and agents are, whether agents can use skills, and how Claude Code and Copilot differ.
AI-Assisted Delivery Methodologies Compared: Which One Fits Your Team?
Vibe coding, spec-driven development, AWS AI-DLC, test-first agents and more, compared side by side, with pros, cons and the team structures each one fits.
Archaeological Specs: Using AI Agents Safely on a Salesforce Org You Didn't Build
Before an AI agent changes an org you didn't build, map what it does now: retrieve metadata, trace dependencies, write an as-is spec and pin it with tests.