# sonarqube

Published articles for sonarqube.

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## Coding Challenge #134 - Agentic Engineering Graph

DevFeed: [Coding Challenge #134 - Agentic Engineering Graph](<https://devfeed.tech/articles/coding-challenge-134-agentic-engineering-graph-29209.md>)

Original publisher: [Read original article](<https://codingchallenges.substack.com/p/coding-challenge-134-agentic-engineering>)

Author: John Crickett

Published: 2026-08-29T08:01:12Z

Content type: tutorial

Language: en

Sources: [Coding Challenges](<https://devfeed.tech/sources/coding-challenges.md>)

Topics: [agentic-coding](<https://devfeed.tech/topics/agentic-coding.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [coding](<https://devfeed.tech/topics/coding.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Langgraph](<https://devfeed.tech/topics/langgraph.md>), [MCP](<https://devfeed.tech/topics/mcp.md>), [Chaos Engineering](<https://devfeed.tech/topics/chaos-engineering.md>), [ide](<https://devfeed.tech/topics/ide.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [agentic-engineering](<https://devfeed.tech/tags/agentic-engineering.md>), [ci](<https://devfeed.tech/tags/ci.md>), [code](<https://devfeed.tech/tags/code.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [langgraph](<https://devfeed.tech/tags/langgraph.md>), [news](<https://devfeed.tech/tags/news.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [review](<https://devfeed.tech/tags/review.md>), [sonarqube](<https://devfeed.tech/tags/sonarqube.md>), [systems](<https://devfeed.tech/tags/systems.md>)

### AI overview

A coding challenge guides readers through building an agentic engineering graph: a small orchestration system that runs an autonomous coding loop of planning, coding, testing, review, and retry. It uses scripts and files for dispatch and persisted state, adds a deterministic Sonar static-analysis quality gate, and then replaces it with an AI-augmented review node using the SonarQube MCP Server.

### Source excerpt

This challenge is to build your own agentic engineering graph.

## Reducing LLM token costs in a code-coverage analysis bot

DevFeed: [Reducing LLM token costs in a code-coverage analysis bot](<https://devfeed.tech/articles/llm-30671.md>)

Original publisher: [Read original article](<https://habr.com/ru/companies/hh/articles/1057108/>)

Author: iBljad (hh.ru)

Published: 2026-07-16T07:25:30Z

Content type: tutorial

Language: ru

Sources: [HeadHunter RU](<https://devfeed.tech/sources/headhunter-ru.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [ci](<https://devfeed.tech/topics/ci.md>), [Java](<https://devfeed.tech/topics/java.md>)

Tags: [ci](<https://devfeed.tech/tags/ci.md>), [java](<https://devfeed.tech/tags/java.md>), [kotlin](<https://devfeed.tech/tags/kotlin.md>), [llm](<https://devfeed.tech/tags/llm.md>), [python](<https://devfeed.tech/tags/python.md>), [qa](<https://devfeed.tech/tags/qa.md>), [qa-automation](<https://devfeed.tech/tags/qa-automation.md>), [qa-testing](<https://devfeed.tech/tags/qa-testing.md>), [sonarqube](<https://devfeed.tech/tags/sonarqube.md>), [tag-ad8c0a243366](<https://devfeed.tech/tags/tag-ad8c0a243366.md>), [tag-bc4e97082857](<https://devfeed.tech/tags/tag-bc4e97082857.md>)

### AI overview

The article describes how hh optimized prompts for an LLM-powered bot that analyzes test coverage. The approach reduces token use by skipping unchanged, trivial, and very short methods, prioritizing more important code, and applying additional cost-saving practices.

### Source excerpt

При анализе кода с помощью LLM всегда есть соблазн закинуть в модель всё сразу -- и пусть сама разбирается. Но на больших объёмах кода стоимость и время такого "пусть разбирается" быстро приводят нас в чувства и заставляют искать пути более экономной траты токенов. Привет, меня зовут Андрей, я занимаюсь автоматизацией тестирования в hh. В этой статье расскажу, как мы оптимизировали запросы нашего бота, который анализирует тестовое покрытие с помощью LLM, чтобы получить максимум пользы при минимальных затратах. Антоним токенмаксинга - токенпожарскинг токенминнинг? Читать далее

## How trivago implemented automated Jenkins scaling for SonarQube analysis

DevFeed: [How trivago implemented automated Jenkins scaling for SonarQube analysis](<https://devfeed.tech/articles/your-definite-guide-for-autoscaling-jenkins-28066.md>)

Original publisher: [Read original article](<https://tech.trivago.com/post/autoscaling-jenkins-guide/>)

Author: Tiago Ferreira Follow

Published: 2017-02-17T00:00:00Z

Content type: tutorial

Language: en

Sources: [Trivago](<https://devfeed.tech/sources/trivago.md>)

Topics: [autoscaling](<https://devfeed.tech/topics/autoscaling.md>), [Jenkins](<https://devfeed.tech/topics/jenkins.md>), [ci](<https://devfeed.tech/topics/ci.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Docker](<https://devfeed.tech/topics/docker.md>)

Tags: [autoscaling](<https://devfeed.tech/tags/autoscaling.md>), [backend](<https://devfeed.tech/tags/backend.md>), [ci](<https://devfeed.tech/tags/ci.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [devops](<https://devfeed.tech/tags/devops.md>), [docker](<https://devfeed.tech/tags/docker.md>), [jenkins](<https://devfeed.tech/tags/jenkins.md>), [sonarqube](<https://devfeed.tech/tags/sonarqube.md>), [unit-tests](<https://devfeed.tech/tags/unit-tests.md>)

### AI overview

A trivago release team describes moving Jenkins to the cloud and implementing automated scaling after frequent SonarQube analyses overwhelmed its existing Jenkins workers. The approach checks repositories for sonar-project.properties, runs dependency installation and unit tests in Docker, and performs SonarQube analysis.

### Source excerpt

At trivago we use Jenkins as our main CI tool. However, when our physical setup was not enough we needed to move it to the cloud and implement an automated slave scaling. This is the definite guide with all the steps we took to implement an auto scaling Jenkins platform.