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Ops Development & AI Practice
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Ops Development & AI Practice

DevSecOps engineer sharing experiences and insights on AI, Web3, and Claude code development. Aims to help solve technical challenges, improve development efficiency, and grow through community interaction. Feel free to comment and discuss.

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Recent Articles

Latest from Ops Development & AI Practice

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Ops Development & AI Practice
Ops Development & AI Practice
Sep 26, 2026 · Artificial Intelligence

Local LLM Hardware Truths: MoE, CPU/GPU/NPU, and 32GB Mac Mini Tuning

This article explains why CPUs struggle with MoE model prefill but excel at decode, compares dense, SSM, MLA, and BitNet architectures, evaluates CPU, NVIDIA GPU, Apple UMA, and NPU hardware for local LLM inference, and provides a practical tuning guide for running 32B models on a 32GB Mac mini with MLX and Ollama.

Apple SiliconKV cacheLLM inference
0 likes · 21 min read
Local LLM Hardware Truths: MoE, CPU/GPU/NPU, and 32GB Mac Mini Tuning
Ops Development & AI Practice
Ops Development & AI Practice
Sep 25, 2026 · Interview Experience

Why Production Heroes Fail Interviews: Converting Systemic Intuition into Architectural Proof

This article explains why experienced engineers who excel at real-world troubleshooting often struggle in technical interviews due to a structural mismatch between systemic debugging intuition and rote memorization tests, and provides a three-layer drill-down model plus a five-step diagnostic derivation framework to translate practical expertise into compelling architectural narratives that interviewers value.

Career DevelopmentInterview Preparationarchitectural communication
0 likes · 15 min read
Why Production Heroes Fail Interviews: Converting Systemic Intuition into Architectural Proof
Ops Development & AI Practice
Ops Development & AI Practice
Sep 25, 2026 · Interview Experience

Forgetting Details ≠ Incompetence: Senior Engineers' Cognitive Compression Playbook

This article explains why senior engineers naturally forget micro-details through the brain's lossy compression, and provides a three-part framework — pre-interview 'deep-water nails' (real failure cases, core parameters, personal artifacts) and three on-the-spot defense frameworks (deduction, methodology anchoring, pivoting) — to demonstrate unforgeable engineering depth in high-stakes technical interviews.

Architecture ReviewGocognitive compression
0 likes · 18 min read
Forgetting Details ≠ Incompetence: Senior Engineers' Cognitive Compression Playbook
Ops Development & AI Practice
Ops Development & AI Practice
Sep 25, 2026 · Cloud Native

Apache APISIX Evolution: From Disrupting Kong to Premier AI Gateway

This article traces Apache APISIX's four-phase evolution: its etcd-based architecture achieving millisecond config updates versus Kong's seconds, its 9-month Apache graduation, multi-language plugin runner and Wasm support, Kubernetes-native ingress controller, and transformation into an AI Gateway with token-based rate limiting, protocol normalization, and SSE streaming optimization.

AI gatewayAPI gatewayApache APISIX
0 likes · 17 min read
Apache APISIX Evolution: From Disrupting Kong to Premier AI Gateway
Ops Development & AI Practice
Ops Development & AI Practice
Sep 23, 2026 · Artificial Intelligence

Why Max Reasoning Backfires: Opus 5.5 Medium Outperforms Max in Terminal-Bench 4.0

Terminal-Bench 4.0 reveals that excessive reasoning (max) reduces accuracy for top models like Opus 5.5 and GPT-6 Astra due to overthinking traps—agent drift, over-engineering, context dilution, and self-doubt—while high-end models at medium reasoning outperform mid-tier models at max reasoning at lower cost.

AI engineeringLLM ReasoningPareto frontier
0 likes · 19 min read
Why Max Reasoning Backfires: Opus 5.5 Medium Outperforms Max in Terminal-Bench 4.0
Ops Development & AI Practice
Ops Development & AI Practice
Sep 21, 2026 · Industry Insights

Why Rules Fail to Stop Bad Actors: From Buffett to Mechanism Design

This article explains why detailed rules fail to constrain unscrupulous individuals, analyzing the deadlock of internal and external supervision through incomplete contract theory and principal-agent problems, then demonstrates how mechanism design and incentive compatibility — illustrated by historical cases like British convict transport and the SEC whistleblower program — can align self-interest with organizational goals.

Goodhart's Lawgame theoryincentive compatibility
0 likes · 17 min read
Why Rules Fail to Stop Bad Actors: From Buffett to Mechanism Design
Ops Development & AI Practice
Ops Development & AI Practice
Sep 20, 2026 · Industry Insights

Xibei's Moat Illusion: Efficiency vs. Premium Pricing Mismatch

An analysis of Xibei's 2025 crisis reveals how its supply-chain industrialization, while enabling scale, failed to justify premium pricing, leading to a trust collapse, massive store closures, and exposing the restaurant industry's lack of structural moats due to zero switching costs and high operating leverage.

Brand CrisisBusiness MoatsPricing Strategy
0 likes · 23 min read
Xibei's Moat Illusion: Efficiency vs. Premium Pricing Mismatch