Redis is easy to start with and hard to run well at scale. This tutorial covers the practices that keep Redis fast, reliable, and secure in production. Key Naming Conventions Consistent key names make debugging and management much easier. Use colons as separators: app:entity:identifier:field Examples: user:1001:profile session:abc123 cache:product:5:details rate:api:user:1001 lock:order:processing:42 Rules: Use lowercase Prefer colons over dots or hyphens (Redis treats colons as namespace separators in RedisInsight) Keep keys short — they add up in memory Include a TTL on anything that should expire Memory Optimization Redis stores everything in RAM. Know what you are using: ...

If you write Kotlin and you pick an AI coding agent based on a benchmark score, you have a problem. Almost every popular benchmark is Python. Your agent might be great at Python and mediocre at Kotlin, and the score would never tell you. JetBrains just shipped a fix: the Kotlin Benchmark, a public leaderboard that scores AI coding agents on real Kotlin work. Here is what it measures, what it does not measure, and what the current results actually say. ...

On August 5, 2026, Meta released a new AI coding agent called Muse Code. It went straight into public beta, aimed at the same developers who use Claude Code and Cursor. (Meta AI Research) I looked at three things: what Muse Code actually does, how it performs against Claude Code, and what its cheapest pricing tier really costs you. Short answer: the low price is real, but it is not free money. Read on for the details. ...

Redis has two messaging systems: Pub/Sub for fire-and-forget real-time events, and Streams for persistent, replayable event logs with consumer groups. Pub/Sub Pub/Sub is simple: publishers send messages to channels, subscribers receive them. Messages are not stored — if no subscriber is listening, the message is lost. # Terminal 1: Subscribe to a channel SUBSCRIBE notifications:user:1 # Terminal 2: Publish PUBLISH notifications:user:1 '{"type":"message","text":"Hello!"}' # Terminal 1 receives: "Hello!" Node.js Pub/Sub ioredis requires separate client connections for publishing and subscribing: ...

On July 8, 2026, the security firm Wiz published research on a flaw they named GhostApproval. It is not one bug in one tool. It is the same design mistake, made independently, in six different AI coding agents: Amazon Q Developer, Claude Code, Cursor, Augment, Google Antigravity, and Windsurf (Wiz Research, The Hacker News). The trick behind it is over 40 years old. It is called a symlink. Once you understand what a symlink is, the whole story makes sense — and so does why fixing it is harder than it sounds. ...

A database query takes 50ms. The same query through Redis takes 0.1ms. Caching removes load from your database and makes your application faster. Why Cache? Reduce database load — fewer queries hit the database Lower latency — in-memory reads are 100-500x faster than disk reads Absorb traffic spikes — cache handles burst traffic without scaling the database Caching adds complexity. Only cache what you need to. Cache-Aside (Lazy Loading) The most common pattern. Read from cache first; fall back to database on miss. ...

Redis is an in-memory database. It is fast — reads and writes take microseconds. It is used for caching, sessions, rate limiting, pub/sub, queues, and leaderboards. Redis 8.0 (released May 2025) includes JSON, vector search, probabilistic data structures, and time series natively — no extensions needed. Setup with Docker docker run -d \ --name redis \ -p 6379:6379 \ redis:8 \ redis-server --save 60 1 --loglevel warning Connect with redis-cli: redis-cli # or with Docker: docker exec -it redis redis-cli Strings The most basic type. Strings can hold text, numbers, or binary data (up to 512 MB). ...

MongoDB reads every document in a collection if there is no index — a collection scan. At 10 million documents, that is slow. Indexes fix this. Single-Field Index // Create an index on the email field db.users.createIndex({ email: 1 }) // 1 = ascending, -1 = descending // The query now uses the index db.users.find({ email: "alex@example.com" }) // Unique index — enforces uniqueness db.users.createIndex({ email: 1 }, { unique: true }) Compound Index Index multiple fields together when you filter or sort on more than one: ...

find() gets documents. The aggregation pipeline transforms them. It is MongoDB’s answer to SQL GROUP BY, JOIN, and window functions. How the Pipeline Works Documents flow through a sequence of stages. Each stage takes the output of the previous one as input. db.orders.aggregate([ { $match: { status: "delivered" } }, // Stage 1: filter { $group: { _id: "$user_id", total: { $sum: "$amount" } } }, // Stage 2: group { $sort: { total: -1 } }, // Stage 3: sort { $limit: 10 } // Stage 4: limit ]) $match — Filter Documents // Equivalent to WHERE in SQL db.orders.aggregate([ { $match: { status: "delivered", createdAt: { $gte: ISODate("2026-01-01"), $lt: ISODate("2027-01-01") } } } ]) Put $match as early as possible. It reduces the number of documents processed by later stages. ...

Alibaba shipped Qwen3.8-Max on August 3, 2026, with a benchmark table comparing it to Claude and GPT. I read that table closely. Qwen3.8-Max does not finish first on either coding benchmark on it. It beats both Claude models on one and loses to both on the other — and a different competitor is ahead of it each time. What it does win is price. That is a real result. It is just not the result the table is dressed up to suggest. ...