AI — Multi-Agent Architectures
Multi-Agent Systems for Code Review
Multi-Agent Systems for Code Review — a practical guide for founders, CTOs, and product teams evaluating ai — multi-agent architectures investments with real budgets and timelines.
Why this matters
Teams building in AI — Multi-Agent Architectures often underestimate integration complexity, production AI costs, and mobile performance requirements. This guide focuses on decisions that affect $10K–$200K project outcomes.
Key considerations
Define success metrics before choosing stack. Prefer proven patterns over experiments on critical paths. Plan for observability, security, and maintenance from day one — especially for AI and RAG features.
When to hire senior help
If your timeline is fixed, your stack includes React Native + Python + AI, or you need App Store-ready quality, a senior engineer who owns the full product beats coordinating multiple juniors.
Bottom line
Dhairya Senjaliya ships AI — Multi-Agent Architectures projects worldwide — book a scoping call to discuss your specific situation.