The AI Engineer

Cadence

Weekly

Latest

2026-10-31

By

Paolo Perrone

Based on

12 recent issues

• Covers: AI engineering practices, hardware selection, inference optimization, durable execution, agent evaluations, and model training architectures.
• For: AI engineers, software developers, and technical leads building and deploying AI systems.
• Best for: Developers and engineering teams optimizing LLM infrastructure and building production AI agents.
• Skip if: Non-technical executives looking for high-level business strategy or general AI trends.

Start with

• How to Build an Agent Eval You Can Trust: Explains how to set up robust automated test suites to score coding agents.
• Continuous Batching vs Speculative Decoding: Compares two GPU optimization techniques to improve LLM inference throughput and latency.
• Inngest vs Temporal vs DBOS vs LangGraph: Evaluates durable execution frameworks to prevent data loss during long-running agent workflows.

Sponsors seen

• HealSponsor

  This issue is brought to you by Heal Heal learns how to run your environment and mocks its dependencies

  How an AI Bug Hunter Works · 2026-10-15
• SonarSourceSponsor

  📣 Sponsored by Sonar Everything below comes from their own documentation and published figures

  A Crash Course in Verifying Agent Code · 2026-09-26

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