Python
12 posts tagged #python
12 posts on Python, spread across AI Agents (5), Dev Tools & AI Workflow (5) — most read: “Python vs TypeScript for AI in 2026: Which Should You Build With?” and “Polars 2.0 Upgrade Guide [2026]: Streaming Default + CI Bench”.
Developer Tools Polars 2.0 Upgrade Guide [2026]: Streaming Default + CI Bench
Polars 2.0 flips LazyFrame execution to the streaming engine by default. Here’s a migration checklist, row-order fixes, and a copy/paste regression harness you can run in CI.
Developer Tools How to Set Up a Python uv Workspace Monorepo
A copy-paste uv workspaces monorepo layout with one lockfile, editable local packages, CI that fails on drift, and fast installs via caching.
Developer Tools Mojo Language Open Source: What Python Devs Get Now
Mojo going Apache 2.0 changes the trust story. Here’s what’s actually open, how to install it, and where Mojo beats NumPy/Rust for real kernels in 2026.
Developer Tools uv vs pip in 2026: Which Python Package Manager Actually Wins?
I'd pick uv for any team running CI pipelines, ML workloads, or fresh projects where cold-install speed and lockfiles matter. I'd stick with pip for legacy codebases or anywhere a zero-dependency, universally-supported tool beats raw performance.
AI and Machine Learning Python vs TypeScript for AI in 2026: Which Should You Build With?
I'd pick Python for any serious LLM pipeline or ML workload in 2026 — the ecosystem gap is still too wide to ignore. TypeScript wins the moment your AI feature lives inside a full-stack product and your team is already shipping Node.
Developer Tools How to Set Up Python for AI Development With uv
Stop using venv + requirements.txt for AI projects. Here's the professional Python environment stack — uv, pyproject.toml, Ruff, type checking, and CI/CD — that actually scales from prototype to production.
![WhatsApp AI Agent: 5 Production Walls Beyond the Tutorial [2026]](https://img.kunalganglani.com/images/vzekdneq/production/a8e1fff5b7219759d1c9d5e9516ebd9af3c3e1c0-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning WhatsApp AI Agent: 5 Production Walls Beyond the Tutorial [2026]
The 30-minute WhatsApp AI agent tutorial gets 2,757 views/day. Here's what happens after the demo: rate limits, API costs, conversation state, ban risk, and the architecture that actually survives production.
AI and Machine Learning Google ADK Tutorial: Build Your First AI Agent
Google's ADK Python 2.0 is GA with 20K+ GitHub stars — here's how to build, harden, and deploy your first AI agent beyond the happy path.
AI and Machine Learning freeCodeCamp's AI Agent Course: What It Misses in Production
The freeCodeCamp AI agent course hit 52,000 views in under four days. Here are the 3 production gaps it leaves wide open — and how to close them before your agent burns $108/hour.
Developer Tools OpenClaw AI Agent vs CrewAI: I Chased the Hype
I tried to build with Dev.to's hyped OpenClaw AI agent and hit a wall. Then I built a working multi-agent system with CrewAI in 40 minutes. Here's the full comparison.
Cybersecurity LiteLLM Supply Chain Attack: How a Fake PyPI Package Targeted AI Developers' Credentials [2026]
A malicious PyPI package used LiteLLM as bait to steal API keys and cloud credentials from AI developers. Here's the anatomy of the attack and how to protect your infrastructure.
AI and Machine Learning How to Build an AI Agent With Python in 2026: Stop Building Solo Agents, Start Building Teams
Single-agent LLM wrappers are already obsolete. In 2026, the real power move is orchestrating teams of specialized AI agents. Here's the production-ready blueprint.
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