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Code Farming

Senior engineer at a top internet giant, sharing Java, AI, tech knowledge, growth insights, and interview experiences.

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Latest from Code Farming

41 recent articles

Code Farming

Oct 14, 2026 · Artificial Intelligence

REA: AI Agent Reverse Engineering Tool Gains 52K Stars in a Day, Clones Software Without Source Code

REA (Reverse Engineer Anything) is an open-source MCP server that equips AI coding agents like Cursor and Claude Code with the ability to reverse engineer binaries, Electron apps, Android APKs, and 20+ other target types by orchestrating native analyzers such as Ghidra, Hopper, and IDA, enabling developers to understand and reimplement features without source code.

AI AgentsGhidraGitHub

0 likes · 15 min read

REA: AI Agent Reverse Engineering Tool Gains 52K Stars in a Day, Clones Software Without Source Code

Code Farming

Oct 12, 2026 · Backend Development

Performance Root Cause Analysis: Decision Trees & Evidence Chains Explained

This article introduces a systematic performance analysis methodology using decision trees (components, modules, counters) and evidence chains (global then targeted drilling), illustrated with a real case of resolving CPU softirq imbalance by increasing network RX queues from 1 to 8.

CPU softirqLinux tuningPerformance Analysis

0 likes · 8 min read

Performance Root Cause Analysis: Decision Trees & Evidence Chains Explained

Code Farming

Oct 10, 2026 · Backend Development

Why Financial Systems Use Event Sourcing Instead of CRUD

This article explains why financial systems adopt Event Sourcing over traditional CRUD, detailing commands, events, state, FIFO queues, deterministic automata, snapshots, and CQRS to achieve fully auditable, replayable state at any point in time.

Architecture DesignDeterministic AutomataFIFO Queue

0 likes · 11 min read

Why Financial Systems Use Event Sourcing Instead of CRUD

Code Farming

Sep 11, 2026 · Backend Development

DDD-Driven Microservice Splitting: 3 Key Steps to Avoid Coupling Pitfalls

This article explains how Domain-Driven Design (DDD) guides microservice splitting through three steps: enforcing high cohesion and low coupling principles, dividing systems into core, supporting, and generic domains via bounded contexts, and using message queues for asynchronous event-driven decoupling, illustrated with an online food ordering example.

Bounded ContextDDDDomain Modeling

0 likes · 8 min read

DDD-Driven Microservice Splitting: 3 Key Steps to Avoid Coupling Pitfalls

Code Farming

Sep 8, 2026 · Backend Development

QR Code Payments Decoded: 4 Systems, 6 Institutions, and the Async Architecture Behind Every Scan

This article breaks down the complete technical chain behind a QR code payment, revealing how authentication tokens, cross-bank clearing with central bank settlement, foreign exchange conversion, and asynchronous messaging systems work together to move money across institutions and currencies without synchronous responses.

QR code paymentSystem Designasynchronous systems

0 likes · 9 min read

QR Code Payments Decoded: 4 Systems, 6 Institutions, and the Async Architecture Behind Every Scan

Code Farming

Sep 7, 2026 · Backend Development

How Encyclopedia Systems Survive Data Center Fires: Architecture Deep Dive

This article breaks down the four-step architecture design of a high-concurrency encyclopedia system, covering latency-driven multi-data-center deployment, a five-layer request chain with caching at each level, a three-tier optimization pyramid, and master-slave synchronization with automatic failover for disaster recovery.

CDN cachingCanalGeoDNS

0 likes · 8 min read

How Encyclopedia Systems Survive Data Center Fires: Architecture Deep Dive

Code Farming

Sep 4, 2026 · Big Data

How Big Data Platforms Turn Dormant Data into User Value: A Ride-Hailing Case Study

This article details a three-stage big data pipeline—collection, computation, and application—used by a ride-hailing platform to build user and vehicle profiles, enable intelligent order matching that boosts click-through rates by 30%, and create a self-reinforcing data flywheel that continuously improves service quality.

Architecture DesignSparkUser Profiling

0 likes · 8 min read

How Big Data Platforms Turn Dormant Data into User Value: A Ride-Hailing Case Study

Code Farming

Sep 2, 2026 · Backend Development

Event Sourcing: Decouple Microservices with Domain Events

This article explains how event sourcing replaces synchronous call chains with domain events to decouple microservices, detailing the four core event elements, a three-step publish-subscribe flow using Spring Cloud Stream, and a practical template for implementation.

DecouplingEvent StormingMessage Queue

0 likes · 6 min read

Event Sourcing: Decouple Microservices with Domain Events

Code Farming

Aug 26, 2026 · Databases

Tencent's 4 Kernel Optimizations for Trillion-Scale Elasticsearch

Tencent shares four kernel-level Elasticsearch optimizations: memory-based smooth rate limiting to prevent cluster avalanches, Rollup pre-aggregation cutting storage costs 10x, moving FST off-heap to manage 50TB per node, and metadata scalability improvements supporting million shards with sub-5-second index creation.

ElasticsearchRollupTencent

0 likes · 7 min read

Tencent's 4 Kernel Optimizations for Trillion-Scale Elasticsearch

Code Farming

Aug 21, 2026 · Databases

How to Cut Redis Cluster Failover to Under 10 Seconds

The article breaks down Redis‑Cluster failover into detection, election, failover, and client perception stages, explains the timing bottlenecks of each, and provides concrete server‑side and Lettuce client configurations that shrink end‑to‑end recovery to under ten seconds.

FailoverHigh AvailabilityLettuce

0 likes · 7 min read

How to Cut Redis Cluster Failover to Under 10 Seconds