Product updates, engineering insights, and everything new in the world of AI agent infrastructure.
Your data lives behind a firewall. Your AI agents run in the cloud. Connic Bridge creates a secure outbound tunnel so your agents can reach private Kafka clusters, databases, and internal services without opening a single inbound port.
Custom observability dashboards with drag-and-drop widgets, model pricing for cost tracking, refreshed connector and runs UI, and llms.txt support.
Deploying AI agents without visibility is flying blind. Learn how to build custom dashboards, track LLM costs per model, and catch failures before users do.
Your demo works great until you have 1,000 concurrent users. A practical guide to the production requirements most teams discover too late.
Stripe connector with webhook signature verification, Email connector with IMAP polling and attachment support, plus dashboard UI improvements.
No more manual uploads or YAML guessing. The Composer SDK brings scaffolding, validation, hot-reload testing, and CLI deployments.
"We'll just deploy it on Kubernetes" - famous last words. The true cost of self-hosting AI agents vs. a managed platform.
Your customers expect AI features, but you don't have ML engineers. Learn how teams ship AI agents using skills they already have.
MCP connector exposing agents as tools, Postgres LISTEN/NOTIFY, S3 file uploads, SQS message queues, connector logs, and unified connector UI.
Your AI agent answers beautifully, just not with your company's information. Learn how RAG transforms generic chatbots into domain experts.
10 deployment regions across 5 continents, import predefined tools (trigger_agent, query_knowledge, web_search) in custom Python code.
Full audit logging with before/after diffs, data residency region selection, distributed rate limiting for connectors, and billing cost breakdown.
