ZhiKe AI
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ZhiKe AI

We dissect AI-era technologies, tools, and trends with a hardcore perspective. Focused on large models, agents, MCP, function calling, and hands‑on AI development. No fluff, no hype—only actionable insights, source code, and practical ideas. Get a daily dose of intelligence to simplify tech and make efficiency tangible.

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Recent Articles

Latest from ZhiKe AI

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ZhiKe AI
ZhiKe AI
Jun 23, 2026 · Fundamentals

Read 100 Books but Can't Remember? An 80‑Year‑Validated 5‑Step Reading Method That Turns Flipping into Retention

The article explains the SQRRR method—Survey, Question, Read, Recite, Review—originating from a 1946 study by Francis P. Robinson, detailing each step, its cognitive basis, research evidence of effectiveness, and practical ways to apply it to textbooks, non‑fiction, and reports.

Active ReadingCognitive ScienceLearning Strategies
0 likes · 8 min read
Read 100 Books but Can't Remember? An 80‑Year‑Validated 5‑Step Reading Method That Turns Flipping into Retention
ZhiKe AI
ZhiKe AI
Jun 23, 2026 · Fundamentals

How Feynman's 4‑Step Method Turns Passive Study into 90% Retention

The article explains why passive learning leads to forgetting, introduces the Feynman technique that uses teaching to expose knowledge gaps, outlines its four iterative steps, and cites cognitive‑science evidence such as the learning pyramid, IOED, and the generation effect to show how active output boosts retention from about 5% to 90%.

Active LearningFeynman TechniqueGeneration Effect
0 likes · 9 min read
How Feynman's 4‑Step Method Turns Passive Study into 90% Retention
ZhiKe AI
ZhiKe AI
Jun 23, 2026 · Backend Development

Duplicate Requests Aren’t Bugs: 5 Idempotency Solutions for Distributed Systems

When network timeouts or retries cause the same payment request to be processed multiple times, duplicate requests become a common failure mode in distributed systems; this article explains five practical idempotency strategies—unique DB indexes, token checks, state machines, Redis SETNX, and downstream dedup tables—and offers guidance on choosing the right approach.

Redisbackenddatabase
0 likes · 16 min read
Duplicate Requests Aren’t Bugs: 5 Idempotency Solutions for Distributed Systems
ZhiKe AI
ZhiKe AI
Jun 22, 2026 · Fundamentals

Message Queues: Power When Correct, Disaster When Wrong – 3 Scenarios & Tips

The article explains how message queues can dramatically improve response time, decouple services, and smooth traffic spikes, outlines seven advantages and eight drawbacks, and provides concrete guidelines on when to adopt them, how to prevent loss, duplication, and ordering issues, and how to ensure end‑to‑end reliability.

KafkaMessage QueueRabbitMQ
0 likes · 15 min read
Message Queues: Power When Correct, Disaster When Wrong – 3 Scenarios & Tips
ZhiKe AI
ZhiKe AI
Jun 21, 2026 · Databases

From ACID to BASE: Picking the Best of 6 Distributed Transaction Strategies

The article explains why ACID guarantees break down in distributed systems, introduces the BASE and CAP trade‑offs, then details six concrete transaction solutions—2PC, 3PC, TCC, Saga, local message tables, and reliable messages—highlighting their processes, drawbacks, and a decision framework for selecting the right approach.

2PC3PCACID
0 likes · 19 min read
From ACID to BASE: Picking the Best of 6 Distributed Transaction Strategies
ZhiKe AI
ZhiKe AI
Jun 20, 2026 · Industry Insights

Stop‑Loss Isn’t Giving Up: 3 Ways to Escape the Sunk‑Cost Bias and Reclaim Your Future

The article explains how the sunk‑cost fallacy traps us in movies, projects, and relationships, outlines the economic principle that only future costs matter, cites the Concorde disaster and behavioral‑economics research, and offers three practical strategies—zero‑base thinking, preset stop‑loss points, and a key self‑question—to break free.

behavioral economicscommitment escalationdecision making
0 likes · 5 min read
Stop‑Loss Isn’t Giving Up: 3 Ways to Escape the Sunk‑Cost Bias and Reclaim Your Future
ZhiKe AI
ZhiKe AI
Jun 20, 2026 · Fundamentals

Why You Play It Safe on Gains but Gamble on Losses: 3 Steps to Counter Prospect Theory Biases

The article explains how Prospect Theory reveals three systematic biases—reference dependence, loss aversion, and risk‑preference reversal—that cause people to sell winning stocks, hold losing ones, and make opposite choices when faced with gains versus losses, and offers a three‑step method to mitigate these biases.

Prospect Theorybehavioral economicsdecision making
0 likes · 5 min read
Why You Play It Safe on Gains but Gamble on Losses: 3 Steps to Counter Prospect Theory Biases
ZhiKe AI
ZhiKe AI
Jun 20, 2026 · Artificial Intelligence

How Large Language Models Generate Blur‑Free SVGs by Writing Code

The article explains that because SVG graphics are defined by XML code, large language models can turn natural‑language descriptions into SVG markup, producing vector images that scale without pixelation; it details the four‑step generation process, compares SVG to raster formats, and highlights its suitability for diagrams and charts.

AI graphicsLarge Language ModelSVG
0 likes · 4 min read
How Large Language Models Generate Blur‑Free SVGs by Writing Code
ZhiKe AI
ZhiKe AI
Jun 19, 2026 · Backend Development

From 1 ns to 10 ms: Why Caching Exists and Why It Keeps You Up at Night

The article explains why caching is indispensable—from nanosecond‑level CPU caches to millisecond‑level disks—covers the classic pitfalls of penetration, breakdown and avalanche, and walks through consistency strategies such as Cache‑Aside, delayed double‑delete, and Canal‑based binlog syncing for high‑concurrency systems.

Cache AsideCache consistencyCaching
0 likes · 13 min read
From 1 ns to 10 ms: Why Caching Exists and Why It Keeps You Up at Night