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Microservice Overengineering: Simplify a Small Java Platform

A practical reflection on deployment coupling, cross-service consistency, and choosing module boundaries for a small Java platform.

  • Peng
  • 2026-09-18
  • AI & LLM

AI Training Plans: Evidence, Constraints, and Professional Review

Design a reviewable training-plan workflow from longitudinal records, fitness tests, historical plans, and an exercise library.

  • Peng
  • 2026-09-16
  • Java & JVM

Beyond Uptime: Redis Pressure and Classroom Reliability

Online classroom monitoring and archival evidence

Measure online classroom reliability through Redis retention, ClickHouse event definitions, entry latency, and after-class archival backlog—not uptime alone.

  • Peng
  • 2026-09-13
  • AI & LLM

Online Classroom: Media Failover and Courseware Fallback

Online classroom media failover and courseware recovery architecture

A practical online classroom architecture for media failover and courseware fallback, with clear recovery boundaries for Agora, ZEGO, classroom state, and post-lesson replay.

  • Peng
  • 2026-09-10
  • Java & JVM

Classroom Messaging: Ordering, Deduplication, Reconnection

Regional classroom messaging and lesson state synchronization

Trace how regional classroom messaging keeps pages, annotations, and teacher actions consistent across delay, duplication, route failover, and student reconnection.

  • Peng
  • 2026-09-07
  • AI & LLM

QLoRA: Classify Support Tickets with a Small Experiment

A small QLoRA experiment for support-ticket classification, covering configuration, observed results, and the limits of loss-based evaluation.

  • Peng
  • 2026-09-06
  • AI & LLM

Transformers: Self-Attention to Decoder-Only Models

Explain self-attention, decoder-only transformer blocks, and the checks needed to connect model architecture with real inference behavior.

  • Peng
  • 2026-09-05
  • AI & LLM, Rag

Text Embeddings for RAG: From Token Lookup to Retrieval

Explain how token lookup becomes a retrieval vector, then test ranking quality, encoding choices, and retrieval-model evaluation.

  • Peng
  • 2026-09-03
  • AI & LLM, Rag

Reliable RAG: Document Quality, Retrieval, and Evidence

Build a support assistant around document quality, access controls, policy versions, hybrid retrieval, and citation checks.

  • Peng
  • 2026-08-30
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