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243 launch guides · 2601 reviewed steps
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AI/ML · Databases & Data · Security

Build a source-cited RAG pipeline with verified evidence

Govern source revisions, preserve ACLs through parsing and chunking, pin embeddings, combine lexical and semantic retrieval, validate claim-level citations, evaluate abstention, and release immutable indexes with safe rollback.
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caution600 minadvanced14 stepsOpenAI embeddings example

AI/ML · Security · Software Engineering · Incident Response & Troubleshooting

Defend prompts and agents against prompt injection, secret extraction, and untrusted content

Threat-model every untrusted source and sensitive sink, minimize capabilities and context, enforce typed tools and egress, sandbox code, bind approvals, red-team end to end, and rehearse containment.
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danger540 minadvanced11 stepsOpenAI Responses API and agent workflows

AI/ML · Security · Software Engineering

Connect an AI coding assistant to MCP servers and review permissions before enabling tools

Evaluate an MCP server as executable supply chain and delegated authority, pin its identity, constrain a local runtime or verify a remote trust endpoint, configure a positive tool allowlist, review OAuth scopes, observe real effects, test prompt injection, set per-tool approvals and rehearse complete removal.
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caution180 minintermediate10 stepsCodex desktop, CLI, or IDE extension

AI/ML · Software Engineering · DevOps & CI/CD · Security

Build reliable production prompts with context, constraints, and evidence

Engineer a production prompt as a versioned, evidence-grounded application contract with explicit instruction hierarchy, safe abstention, representative evals, deterministic gates, controlled rollout, observability, and atomic rollback.
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caution240 minadvanced12 stepsOpenAI Responses API