PeaDB: Redis-Compatible Database Coded with AI Assistants in C++20
Project Overview
PeaDB is a Redis 7.2.5 drop-in replacement written in modern C++20. The developer "vibe-coded" it during Tết (Lunar New Year) with about one week of part-time work while balancing family commitments.
Key Features
- Speaks RESP2/3 protocol
- Implements approximately 147 Redis commands
- Includes persistence, replication, and cluster functionality
- Goal: behave indistinguishably from Redis while optimizing for multi-core CPUs
Development Tools and Cost
The project used a combination of AI coding assistants:
- Codex (ChatGPT Go plan) - $8/month (free via Vietnam promo)
- GitHub Copilot Pro - $10/month
- Total cost: ~1 month of Codex budget + ½ month of Copilot budget
Models used: Claude Opus 4.6, GPT-5.2, and GPT-codex-5.3. The developer noted that Codex 5.3 feels cheaper and sometimes solves problems Opus doesn't, but using all three models together works best.
Three-Model Workflow
For hard problems, the developer used this approach:
- Ask each model to write opinions/solutions into three separate markdown files
- Ask Claude to verify, merge, point out mistakes, and learn from the other two models
- Implement, test, and iterate
Benchmarks and Performance
Benchmark results show PeaDB performance is "quite close to Redis" according to the developer's comparison report. The developer specifically requests critique of their benchmark methodology, asking for feedback on workload mix, client settings, pipelining, CPU pinning, warmup, latency percentiles, and other factors to ensure honest comparisons.
Repository and Resources
The project is available on GitHub, and the developer has provided a detailed comparison report showing benchmark results against Redis.
📖 Read the full source: r/ClaudeAI
👀 See Also
Claude-Real-Video: Scene-Aware Frame Extraction + Transcript for Any LLM
An open-source tool that extracts scene-aware, deduplicated frames and audio transcripts from videos, enabling any LLM to "watch" a video locally without uploading. Features scene-change detection, sliding-window dedup, and Whisper transcription.
agentcache: Python Library for Multi-Agent LLM Prefix Caching
agentcache is a Python library that enables multi-agent LLM frameworks to share cached prompt prefixes, achieving up to 76% cache hit rates and cutting inference time by more than half in tests with GPT-4o-mini.
Codex Chrome Extension Adds Background Browser Automation Across Tabs
Codex's new Chrome extension on macOS/Windows enables parallel browser task execution in background tabs without taking over the browser — covering debugging flows, dashboards, research, and CRM updates.
read-once: A Claude Code Hook That Prevents Redundant File Reads
A developer built a PreToolUse hook called read-once that tracks files Claude Code has already read in a session, blocking re-reads of unchanged files and using diffs for changed files. The tool saves thousands of tokens per session by preventing Claude from repeatedly reading the same file content.