Prompt
What should I use to keep API configs out of app code?
Latest observation
Use environment variables or a separate config management system—not hardcoded values in app code.
Common options:
- Environment variables: Best for API keys, URLs, and secrets
.envfiles: Good for local development, but don’t commit them to git- Config files outside source control: e.g.
config.yaml,settings.jsonloaded at runtime - Secret managers: Best for production
- AWS Secrets Manager
- Azure Key Vault
- Google Secret Manager
- HashiCorp Vault
Good practice:
- Keep secrets out of code and repos
- Use different configs for dev/test/prod
- Rotate keys regularly
- Load configs at startup, not embedded in logic
If you want, I can show the best setup for your stack (Node, Python, Java, etc.).
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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