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Share how you use Django with Django Probe
The post introduces Django Probe, a tool that scans Django projects and anonymously aggregates how framework APIs and patterns are actually used. The goal is to give Django maintainers better data for decisions around deprecations, new features, documentation, and community priorities.
superdesigndev / treg
OpenRouter for agent tools. Join community here: https://discord.gg/6mQYYfFMAn
Put the Arithmetic in the Tool: an MCP Server for an AWS Waste Scanner
The article shows how to add an MCP server to a Python-based AWS cost scanner so AI agents can query computed totals, breakdowns, filters, and cleanup plans without doing arithmetic themselves. It also covers JSON-RPC over stdio, read-only tool design, end-to-end testing, rounding consistency, and integration with Claude Code.
This Design Pattern Replaces an Entire Class Hierarchy
This video compares three ways to model type-based variation in Python: subclasses, storing a type value such as an enum, and representing each variation as an object. Using a subscription system, it introduces the Type Object pattern and explains when each approach is the better fit.
DeepTeam
DeepTeam is a framework to red team LLMs and AI agents.
💖 Most Popular in the Last Two Weeks
Hyperresearch
Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.
engrim
Engrim is a local-first Python memory layer for coding agents that preserves project context and decisions across tools like Claude Code, Cursor, Codex, Windsurf, and OpenCode.
strands-agents / harness-sdk
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
feder-cr / invisible_playwright_mcp
Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scraping, computer use.
LintLang
LintLang is a Python-based static analyzer that catches ambiguous, conflicting, and error-prone instructions in AI agent prompts, tool descriptions, and configuration files.
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Project by Ruslan Keba. Since 2012. Powered by Python. Made in 🇺🇦Ukraine.