Reading up on Redis
17 deep · digging since dec 18, 25
- Control the ideas, not the code - <antirez>
Programmers should steer AI by defining ideas and designs, not by reviewing generated code, to focus on higher‑level decisions and quality.
- In defense of not understanding your codebase
The author argues that in large software systems it's normal and effective to work with only a partial understanding of the codebase.
- A new era for software testing - <antirez>
LLM agents can perform manual QA testing via markdown instructions, catching regressions and psychological issues, raising software quality beyond traditional automated tests.
- Hocuspocus | Tiptap Collaboration Docs
Hocuspocus is a suite of tools based on Y.js that enables real-time collaboration and offline-first syncing via a WebSocket backend.
- Throwing AI-generated walls of text into conversations
Hacker News discussion critiques AI-generated verbose chat responses as 'slop grenades' that destroy communication by being unhelpful and disrespectful.
- charles leifer | Redis and the Cost of Ambition
Charles Leifer argues Redis lost focus by chasing every new database trend, abandoning its simple data-structure-server identity, a shift driven by VC-backed ambition that Valkey now capitalizes on by sticking to core strengths.
- Tool: Redis Array Playground
An interactive playground lets users try experimental Redis array commands via WASM, including ARGREP for server-side regex matching.
- Redis array type: short story of a long development - <antirez>
Antirez spent four months building a new Redis Array data type, using AI to achieve a complexity he would have otherwise skipped.
- It's 2026, Just Use Postgres
The Hacker News commenters debate whether Postgres can truly replace specialized databases like Redis or Elasticsearch, with pushback on performance claims for caching and search.
- Don't fall into the anti-AI hype
A Hacker News discussion challenges the 'anti-AI hype' narrative, with many commenters defending legitimate concerns about the impact of AI on programming jobs and code quality.
- Don't fall into the anti-AI hype - <antirez>
Antirez argues that AI is fundamentally reshaping programming, citing his own experience using Claude Code to complete tasks in hours that would have taken weeks, and urges developers to embrace the change.
- GitHub - LMCache/LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
LMCache is a vendor-neutral KV cache management layer that reduces time-to-first-token and improves throughput for LLM inference by enabling persistent storage and reuse of cached states.
- Project ideas to appreciate the art of programming
A Hacker News discussion critiques a list of programming project ideas from codecrafters.io, debating its authenticity, difficulty scaling, and the value of building from scratch as a learning practice.
- Technology | 2025 Stack Overflow Developer Survey
Python adoption accelerated sharply in 2025, Docker saw a record +17 point usage jump, and Rust remained the most admired language, according to the Stack Overflow Developer Survey.
Takes
I want to say a final thing about my Fable first reaction: I dedicated my life to programming and I'll use every innovation in the field, also to extract value and bring it to the local inference world, to Redis, and so forth. But:
@antirez
All types of databases, Redis, Postgres, Clickhouse, Mysql etc. now display important stats and metrics aswell as most run queries in the Maple service map
@makisuo
Love this post by @antirez on developing Redis Array support. Its a great showcase of thoughtful AI usage and how AI can empower even the best developers while still producing high quality work. https://antirez.com/news/164
@mitchellh