State of Context Engineering in 2026

Hosted by Aurimas Griciunas

Fri, Mar 20, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

141 students

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End-to-End AI Engineering Bootcamp
Aurimas Griciunas
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What you'll learn

Core patterns shaping context engineering in 2026

Understand the major approaches teams use to give models the right information at the right time.

Tradeoffs between different context strategies

Learn how to compare approaches based on accuracy, latency, token cost, maintainability, and reliability.

Apply these patterns to design better agentic systems

Use routing, progressive disclosure, and modular capabilities to build agents that are more efficient and reliable.

Why this topic matters

Most agent failures stem from poor context engineering, not weak model capability. Teams often overload prompts with instructions, tools, and retrieved information, which makes systems brittle, costly, and difficult to scale. Understanding how to structure, route, and selectively load context helps you build agentic systems that surface the right capabilities and information at the right time.

You'll learn from

Aurimas Griciunas

Founder @ SwirlAI • Ex CPO @ neptune.ai (Acquired by OpenAI)

Aurimas Griciūnas is a recognized AI expert, LinkedIn Top Voice in AI, and the founder of SwirlAI. He previously served as Chief Product Officer at Neptune.ai where he worked closely with top ML teams to scale infrastructure, evaluation, and LLMOps practices across industries. With over a decade of experience at the intersection of data science, machine learning, and software engineering, Aurimas has led AI initiatives in both startups and enterprise environments. His mission is to bridge the gap between hype and reality by teaching engineers how to build systems that work in the real world. Students will benefit from his hands-on knowledge, technical depth, and product-first mindset - gained by solving actual engineering problems.

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