Production AI Workflows & Multi-Agent Blueprints

Build an autonomous Argo CD self-healing agent in Python to detect Kubernetes out-of-sync drift, remediate pod crashes, and eliminate silent cluster outages.

Build an autonomous Redis rate limiting agent in Python using sliding window counters and token buckets to eliminate 429 errors in multi-tenant agent swarms.

Build an autonomous Temporal eBPF tracing agent in Python to capture kernel-level network latency, trace agent activities, and eliminate telemetry overhead.

Build an autonomous Redpanda stream balancing agent in Python to eliminate consumer lag, dynamically adjust partition quotas, and maintain sub-1ms routing.

Build an autonomous RabbitMQ dead-letter agent with Python and OpenTelemetry to inspect poison messages, repair broken schemas, and re-queue failed payloads.

Build an autonomous chaos engineering agent using Chaos Mesh and Litmus to inject network partitions, test agent resilience, and stop silent outages in production.

Learn how to build an autonomous egress security agent with Cilium eBPF to monitor Linux kernel sockets and prevent unapproved data leaks in AI agent fleets.

Learn how to build an autonomous canary deployment agent with Argo Rollouts and Prometheus to automate traffic shifting and instant zero-downtime rollbacks.

Learn how to build an autonomous Kafka partition rebalancing agent with Cruise Control to eliminate broker CPU hotspots and prevent consumer lag spikes.

Build an autonomous browser QA agent using Playwright and Claude 3.5 Sonnet with self-healing DOM selectors, visual regression, and zero flaky test runs.

Learn how to build durable agent workflows using Pydantic AI and Temporal with crash recovery, deterministic state machines, and zero lost execution tokens.

Build an asynchronous event-driven multi-agent architecture using Langflow and Redis Streams. Decouple agent reasoning loops from blocking HTTP timeouts.