# Agentic coding with ClickHouse. One person, one data stack, one full-stack application

DevFeed: [Agentic coding with ClickHouse. One person, one data stack, one full-stack application](<https://devfeed.tech/articles/agentic-coding-with-clickhouse-one-person-one-data-stack-one-full-stack-application-4921.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/agentic-coding-app>)

Author: Oussama Chakri

Published: 2026-04-14T13:38:14Z

Content type: article

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [agentic-coding](<https://devfeed.tech/topics/agentic-coding.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>), [observability](<https://devfeed.tech/topics/observability.md>), [ai observability](<https://devfeed.tech/topics/ai-observability.md>), [infrastructure monitoring](<https://devfeed.tech/topics/infrastructure-monitoring.md>), [Tooling](<https://devfeed.tech/topics/tooling.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [coding](<https://devfeed.tech/tags/coding.md>), [dashboards](<https://devfeed.tech/tags/dashboards.md>), [logs](<https://devfeed.tech/tags/logs.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [observability](<https://devfeed.tech/tags/observability.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [tooling](<https://devfeed.tech/tags/tooling.md>), [traces](<https://devfeed.tech/tags/traces.md>), [tracing](<https://devfeed.tech/tags/tracing.md>)

## AI overview

A Solutions Architect describes building ClickShop, a full-stack retail analytics platform, in a few days using agentic coding and ClickHouse. The application combines real-time analytics over billions of rows, transactional workflows, 18 persona-specific AI agents, and observability for LLM tracing, costs, evaluation, metrics, logs, and distributed traces.

## Source excerpt

A Solutions Architect's experience building a retail analytics platform with AI agents, real-time dashboards, and full observability on the ClickHouse data platform