Why AI coding makes software design more important

The post Software Design in the Age of AI appeared first on Towards Data Science.

Better understand the intent of your coding agents

The post How to 5x Your Communication Effectiveness with Claude Code appeared first on Towards Data Science.

Learn how to run a lot of parallel coding agents without expensive, powerful hardware at home

The post How to Run 10+ Claude Code Sessions Without a Powerful Computer appeared first on Towards Data Science.

How to apply the latest context engineering guidelines to your day-to-day data science work

The post Context Engineering Is Changing. Here’s What It Means for Data Scientists appeared first on Towards Data Science.

Four skills worth adding to your workflow today if you don't want to be left behind

The post 4 Claude Skills Every Data Scientist Needs in 2026 appeared first on Towards Data Science.

Learn where which coding agent is best

The post When to Use Claude Code and When to Use Codex appeared first on Towards Data Science.

Be a better communicator with LLM programming

The post Why Claude Code Time Estimates Are Poor appeared first on Towards Data Science.

A practical guide to getting better code, not just more code

The post How to Work with AI Coding Agents appeared first on Towards Data Science.

Learn how to optimize your CI/CD pipeline for coding agents

The post How to Effectively Deploy Code With Claude Code appeared first on Towards Data Science.

Create a local CLI Agent from scratch completely for free

The post How to Build CLI Agents with Python & Ollama appeared first on Towards Data Science.

Perform non-programming tasks with coding agents

The post How to Apply Coding Agents to Non-Programming Tasks appeared first on Towards Data Science.

Most coding agents treat prompt construction like retrieval: gather more files, add more context, hope the model figures it out. But that approach breaks down fast. As context grows, irrelevant code competes for attention, and when the window fills, agents start compressing their own memory—often mid-task. What looks like “forgetting” is usually just degraded context. This article explores a different approach: treating prompt construction like a compiler that decides what to keep, what to reduce, and what to discard entirely.

The post Coding Agents Don’t Need Bigger Context Windows — They Need a Context Compiler appeared first on Towards Data Science.

A practical tutorial for recording model tool requests, real function results, patches, checks, screenshots, and a saved run log.

The post How to Debug AI Coding Agents When They Change the Wrong Thing appeared first on Towards Data Science.

Optimise how you interact with your coding agents

The post How to Organize All of Your Coding Agent Tasks appeared first on Towards Data Science.

Maximize your efficiency with Claude Code

The post How to Efficiently Prompt Claude Code appeared first on Towards Data Science.