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Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.
The article describes a custom implementation that provides a session-level ordering on top of Apache Kafka partitions, supporting strict message ordering across 1000s of independent channels. The solution required application-level routing, consistent hashing, retries, and contiguous watermark commits. Engineers conducted operational hardening supported by extensive performance testing.
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balancing LLM-as-a-judge with deterministic rules, bridging Python data science evals with TypeScript production code, and implementing deep tracing to catch regressions across complex RAG and cybersecurity workloads while preserving domain context.
Hannah Foxwell shares how the surge of agentic coding forces engineering leaders to rethink team dynamics. She discusses three key anchors for navigating AI-driven velocity: building software worth building, prioritizing automated safety over speed, and preserving the human element through generalist "broken comb" skillsets and sustainable on-call practices.
Matthew Liste explains the 12 core principles of building scalable, reliable platforms for enterprise tech teams. From avoiding technical debt and managing deprecation to building a strong engineering culture, Liste discusses how to design infrastructure platforms that reduce complexity, streamline developer workflows, and deliver long-term value for senior architects and engineering leaders.
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