Building Reliable Commerce and Coding Agents
Reliable agents need structured context, codebase-wide visibility and guarded runtime tool creation.
Summary
Agent-driven commerce depends on structured product data, hybrid search and enough trust for shoppers to delegate purchases, with agentic commerce projected to reach $1.1 trillion in US retail and $3 to $5 trillion globally. AI coding agents increase output but also accelerate duplicated code, inconsistent standards, brittle dependencies and vulnerabilities across large codebases, making searchable, compiler-accurate code graphs essential. AWS's Strands Agents adds a different capability: agents can create, load and use tools and sub-agents during runtime, including a Hawaii travel planner that generated flight, activities and itinerary sub-agents. The shared requirement is controlled context, with catalog enrichment, codebase visibility, sandboxing, constrained permissions and evaluation preventing more automation from producing weaker results.