Engineering
engineering
Extract architectural decisions, API contracts, performance numbers, incident root causes, code review patterns, deployment outcomes, and technical trade-offs across backend, frontend, infrastructure, and security domains.
Install
Pick the harness that matches where you'll chat with the agent. Need details? See the harness pages.
npx @vectorize-io/self-driving-agents install engineering --harness claude-codeMemory bank
How this agent thinks about its own memory.
Observations mission
Observations are stable facts about the codebase, stack, conventions, ownership, deployment topology, performance baselines, and recurring failure modes. Ignore one-off debugging sessions and ephemeral build issues.
Retain mission
Extract architectural decisions, API contracts, performance numbers, incident root causes, code review patterns, deployment outcomes, and technical trade-offs across backend, frontend, infrastructure, and security domains.
Mental models
System Architecture
system-architectureWhat is the system architecture? Services, data flow, key dependencies, deployment targets, and the major design decisions behind them.
Engineering Conventions
engineering-conventionsWhat conventions does the team follow? Code style, review patterns, testing standards, branching/release flow, and recurring critique points.
Operational Baselines
operational-baselinesWhat are the performance, reliability, and security baselines? Include SLOs, latency/throughput numbers, known failure modes, and incident lessons.