Cleared the Anthropic Claude Certified Architect - Foundations exam!
Sharing what stood out while passing the CCA-F as an early adopter, key to building robust production AI systems:
• Explicit beats implicit: Few-shot examples + JSON schemas >> vague instructions. If you don't specify it, LLMs will improvise (often badly). Keep your tools/skills definitions tight.
• Root cause > band-aids: Don't post-filter garbage outputs. Fix your upstream prompt/tool design so garbage never generates.
And when (not if) something breaks, fail gracefully but propagate the error responsibly back through the system so you figure out what broke, why, and how to fix it.
• Context window is finite: Isolate verbose operations in sub-agents, compress ruthlessly (but identify and preserve what's important), and structure critical state, because "lost in the middle" is real.
• Structured output = deterministic behavior: --output-format json + schema validation >> asking nicely in prose.
Programmatic blocks (tool dependencies) > "please run X before Y".
Do what you can do programmatically, programmatically. Do not leave it to the probabilistic nature of LLMs.
• Isolation prevents contamination: Fresh context per review pass (context: fork) stops confirmation bias. Do not let the agent evaluate its own exam.
Isolate, get a second agent as a reviewer. One agent's mess shouldn't pollute or bias another's reasoning.
• Principle of least privilege: Scoped tools = fewer footguns. Follow the principle of least privilege, provide only what's necessary (permissions, tools), or risk getting wiped for good.
Thanks to itexamscerts for pushing me to get this done!!