← Back to all news
Towards Data Science By Eivind Kjosbakken

Why Claude Code Time Estimates Are Poor

Read the original on Towards Data Science →

The article titled "Why Claude Code Time Estimates Are Poor" discusses the challenges and shortcomings of using Claude, an LLM, for estimating code development time. It highlights how these estimates can be unreliable and offers insights into improving communication when working with LLM programming tools.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at Towards Data Science.

Related stories

Towards Data Science
Aug 29

When to Use Claude Code and When to Use Codex

The article discusses the appropriate contexts for using Claude Code versus Codex, two coding agents. It explains the strengths and ideal use cases for each tool, helping readers decide which agent to employ for specific programming tasks. The post provides guidance on selecting the most suitable coding assistant based on the nature of the work.

By Eivind Kjosbakken
llmsagents
More like this →
Towards Data Science
Aug 20

How to Effectively Align Your Intent with Claude Code

The article titled "How to Effectively Align Your Intent with Claude Code" discusses strategies for improving proficiency with Claude Code. It offers guidance on how to align your intentions with the code to achieve better results. The post was originally published on Towards Data Science.

By Eivind Kjosbakken
llms
More like this →
Towards Data Science
Aug 26

How to Effectively Solve 100+ Tasks with Claude Code

The article "How to Effectively Solve 100+ Tasks with Claude Code" discusses strategies for working more efficiently with coding agents. It focuses on practical approaches to manage and complete a large number of tasks using Claude Code. The post was originally published on Towards Data Science.

By Eivind Kjosbakken
llmsagents
More like this →