🤖 Build a Multi-Agent Code Review System



Hey Reader

AI agents aren't just writing code anymore. They're reviewing it, catching bugs, and shipping feedback directly into your pull requests. This week, we're going live with a hands-on session on building a multi-agent code review system, plus the biggest AI news story of the month, a beginner's guide to Vercel's v0, and tools you can start using today.

🎙️ UPCOMING LIVE SESSION

From PR to AI Review: Building a Multi-Agent Code Review System

Thursday, April 16 · 2:00 PM – 3:30 PM UTC

Join Nikolay Advolodkin for a live deep-dive into constructing an automated code review system using multiple AI agents. You’ll see how to integrate Claude Code, GitHub Copilot, and CI pipelines into a structured engineering workflow in which agents analyze pull requests from multiple angles and deliver feedback directly within PRs.

This isn’t theory. It’s a working system you can implement the same week.

REGISTER NOW

⭐ Sponsor

The fastest path to your next promotion?

Temporal is the foundation for the systems (and engineers) that scale. Learn how Durable Execution can propel your career with our definitive guide.


🎥 VIDEO OF THE WEEK

Deep Research Tutorial

Learn how to use AI-powered deep research tools to accelerate your technical learning and investigation workflows.

WATCH NOW


🔐 USEFUL LIBRARIES AND APPS

Note My Life - A personal wisdom library that helps you record life lessons so you never have to learn them twice. Voice and text capture, auto-categorization, daily reminders, and end-to-end encryption. Free forever.

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Hermes Agent - A self-improving, model-agnostic AI agent framework by NousResearch with built-in memory, skill learning, and multi-platform deployment (Telegram, Discord, Slack, CLI).

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🌐 LATEST AI NEWS

Anthropic’s Internal Documents Exposed in Data Leak, Revealing “Claude Mythos” Model

On March 26, a misconfigured content management system at Anthropic left nearly 3,000 internal documents publicly accessible, revealing the existence of Claude Mythos, a new model tier above Opus that Anthropic describes as “a step change” in capability. The leaked documents state the model scores dramatically higher than Claude Opus 4.6 on coding, reasoning, and cybersecurity benchmarks.

Key Insights:

- Biggest unforced error in AI this year: The leak happened because a CMS default setting automatically made uploaded files public, ironic for a “safety-first” lab.

- A new tier above Opus: Mythos represents an entirely new model class, signaling that frontier capabilities are still accelerating faster than expected.

- Cybersecurity is the flashpoint: Anthropic’s internal assessment says Mythos is “currently far ahead of any other AI model in cyber capabilities.”

- Markets reacted immediately: Cybersecurity stocks dropped as investors priced in a more hostile AI-powered threat landscape.

- Competitive pressure is enormous: With GPT-5.4, Gemini 3.1 Ultra, and Grok 4.20 all launching the same month, Anthropic may accelerate Mythos’s release despite safety concerns.

READ MORE


💬 QUOTES OF THE WEEK

Addy Osmani

“This is the most fun moment to be a developer in years. The AI tools are imperfect, the patterns are still emerging, and there’s genuine room for experimentation. Roll up your sleeves and build something. The earthquake is further opening up what’s possible.”

READ FULL POST NOW


✏️ ARTICLE OF THE WEEK

How to Use v0 by Vercel for Beginners

A step-by-step guide to building React websites and components through natural language with Vercel’s AI-powered platform. From the first prompt to the deployed landing page, everything you need to start building with v0.

READ NOW


🎓 COURSE SPOTLIGHT

Temporal for Beginners: Durable Execution Fundamentals

Learn the fundamentals of creating durable applications with Temporal.

ENROLL NOW


🤖 CLAUDE SKILL OF THE WEEK

Multi-Agent Code Review Skill

Set up a Claude Code skill that automatically reviews your pull requests from multiple angles: security, performance, and test coverage. Drop this into .claude/skills/review-pr/SKILL.md and invoke it with /review-pr.

When invoked, this skill:
1. Reads the full diff of the current branch against main
2. Analyzes for security vulnerabilities, performance regressions, and missing test coverage
3. Posts inline comments with suggested fixes
4. Summarizes findings in a checklist

Use this to get staff-engineer-level code review on every PR before a human even looks at it.

LEARN MORE ABOUT CLAUDE SKILLS


Did you miss out on our past insights? Dive into the entire library on our page and catch up on all you’ve missed! ✨

TECH NEWS

If you find this knowledge useful, don’t keep it to yourself. Spread the word and share it with friends and colleagues who could benefit, too! 🌿


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Read more from UltimateQA Weekly Newsletter

Reader Most teams are still reviewing pull requests manually. I built a system in which AI agents automatically review code. In this live session, I’ll walk you through how it works end-to-end. What you’ll see: How to design a multi-agent system for PR reviews How Claude Code, GitHub Copilot, and CI pipelines fit together How agents analyze code, aggregate results, and leave feedback directly in PRs This isn’t theory. It’s a real system you can understand and apply immediately. 👉 Save your...

Hello Reader Modern AI tools are accelerating software development, but most teams still rely on fragmented workflows and manual code reviews. In this free webinar hosted by Shift Sync, Nikolay Advolodkin will walk through how he built a multi-agent AI system that automatically reviews pull requests, combining tools like Claude Code, GitHub Copilot, and CI pipelines into a structured engineering workflow. Instead of focusing on individual tools, this session shows how to design a system where...

Hello, UltimateQA enthusiasts! Today, we have a lot of great content for you. Let's go! ⭐ Sponsor The fastest path to your next promotion? Temporal is the foundation for the systems (and engineers) that scale. Learn how Durable Execution can propel your career with our definitive guide. LEARN MORE 🎥 Video of the Week Build an OpenAI Deep Research Agent in 32 Min In this video tutorial, you will learn: • Durable, fault-tolerant AI agents with Temporal workflows • Automatic retries + state...