Programming Languages
89 episodes · Page 3 of 4
#2346: Your Schema Is a Contract
How to design relational schemas that don’t haunt you later—entity modeling, normalization tradeoffs, and when (not) to use JSON columns.
#2345: Why File Naming Conventions Are More Than Just Style
Discover how file naming conventions like snake_case and camelCase impact development workflows, CI/CD pipelines, and filesystem compatibility.
#2342: How Python Ate Wall Street
Over 80% of equity trades are now executed algorithmically. How did Python libraries quietly democratize quant finance?
#2338: Who Keeps Matplotlib Running?
How does a team of just 15 people maintain Matplotlib, the backbone of global scientific visualization?
#2278: Visual Programming's Enduring Tradeoff
Why do visual programming tools keep resurfacing—and why do power users keep hitting their limits?
#2255: Typst vs. LaTeX: The AI-Ready Document Engine
Can Typst succeed LaTeX as the go-to tool for programmatic typesetting, especially for AI agents? We compare the two and explore what makes a docum...
#2168: What Serious Agentic AI Developers Actually Need to Know
Python, TypeScript, LangGraph, and the frameworks reshaping how agents work. A technical map of the skills and concepts that separate prototypes fr...
#2070: SemVer, Changelogs, and the Social Contract of Code
Stop breaking the internet. Learn the exact system developers use to release software without causing chaos.
#2043: From Wrappers to State Machines
Skip no-code traps. Learn the real stack for building agentic AI: Python, TypeScript, and Rust.
#2018: When Micro Frontends Actually Make Sense
The frontend monolith is a nightmare of coordination. Micro frontends promise autonomy, but is the operational complexity worth the cost?
#1938: JSON-to-SQL Type Mapping: A Practical Guide
Mapping JSON to SQL isn't as simple as it looks. Discover the hidden traps in data types that can cause performance hits and data corruption.
#1927: Workers vs. Servers: The 2026 Compute Showdown
Is the persistent server dead? We compare Cloudflare Workers, GitHub Actions, and VPS options for modern app architecture.
#1923: Scaling Prosumer Automation to Enterprise
Prosumer tools like n8n break at scale. Here's why durable execution frameworks like Temporal and Prefect are the enterprise upgrade.
#1862: Hacker News: The Orange Site That Runs Silicon Valley
It loads in milliseconds, has no ads, and looks like a spreadsheet from 1995. Here’s why Hacker News still dictates what the tech elite thinks ever...
#1838: Tuning Search Without Losing Your Mind
Modern search bars are AI decision engines. Here's how small teams can tune fuzzy matching, semantic search, and reranking without breaking everyth...
#1781: Writing Tests Before Code Is Insane (Until You Try It)
Why testing feels like a tax, how it actually speeds you up, and the simple three-step method to start today.
#1767: From Eyeballs to Tokens: The Web's Agentic Shift
The web's new primary user isn't human—it's AI. See how JavaScript evolved to serve autonomous agents.
#1753: AI Makes Coding Harder, Not Easier
Claude Code writes the syntax, but you need more technical knowledge than ever to guide it.
#1717: The AI Framework Name Game
Why are there thousands of "AI frameworks" on GitHub? We unpack the naming mess and the cost of semantic inflation.
#1714: The Hidden Cost of Rolling Your Own
Why do companies pour millions into SDKs? We explore the hidden costs of raw APIs and the strategic advantages of using software kits.
#1657: Solo Devs: When to Dockerize (and When Not To)
Is Docker worth it for solo devs? We compare raw Python, Docker, and dev containers with real setup times and tradeoffs.
#1647: Monorepos: Better Modularity Than Multi-Repos?
Why putting all your code in one repository can actually enforce better boundaries than separate repos.
#1614: Beyond the .env: Mastering Public and Private Code
Stop paying the "dual-repo tax." Learn how to manage public code and private secrets in a single, secure repository.
#1587: Building a Closed-Loop Hebrew Learning Stack
Explore how AI solves the "vocalization gap" in Hebrew and the best tools for building a high-tech, voice-to-SRS study workflow.