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# AI Agents for Developers: Which Tool Works Best in Real Projects?

**[Angular.love](https://daily.dev/sources/angularlove)** · 23 min read · 0 upvotes · 0 comments

## Summary

A team of developers at House of Angular share their real-world experiences comparing four AI coding agents: GitHub Copilot, Claude Code, Cursor, and Codex. Most started with Copilot for its affordability and IDE integration, but the majority have since moved to Claude Code, citing superior context understanding, planning capabilities, and code quality for complex tasks. Cursor is praised for UX and autocomplete, while Codex excels at simple, fast, repetitive tasks like migrations and boilerplate but struggles with complex problems. The piece includes feature and pricing comparison tables (Copilot ~$10/month is cheapest and most predictable; Claude, Cursor, and Codex start around $20/month but can scale much higher with usage). Key advice: avoid annual subscriptions given the pace of change, don't constantly switch tools, and configure repositories (linting, tests, CI) to give agents better feedback loops. The overarching conclusion is that how a tool is used matters more than which tool is chosen.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://angular.love/ai-agents-for-developers-which-tool-works-best-in-real-projects>

## Questions this post answers

### What is the price difference between GitHub Copilot and Claude Code subscriptions?

GitHub Copilot costs about $10 per month (or $100 per year) at its base tier, making it the cheapest and most predictable option with no additional usage fees. Claude Code starts around $20 per month for the Pro plan but can scale to $100-200 per month on higher tiers, plus additional token costs during heavy usage, making its total cost less predictable than Copilot's flat pricing.

_Developers weighing AI coding tool budgets can compare real cost breakdowns like this on daily.dev._

### When should I use Codex instead of Claude Code for a coding task?

Codex works better for simple, well-defined tasks like boilerplate generation, unit tests, and straightforward refactoring or migrations, delivering results faster and cheaper than Claude in these cases. Claude handles more complex problems better because it can reason more broadly, though this consumes more tokens; one developer found Codex finished a state-migration task in minutes that caused Claude to overcomplicate the solution and burn through tokens for hours.

_Anyone splitting work between AI coding agents can track these tradeoffs through daily.dev._

### Why did most developers switch from GitHub Copilot to Claude Code or Cursor for coding?

Developers moved away from Copilot mainly because of weaker context understanding and slower performance compared to newer agent-based tools. Claude Code offers stronger project-context awareness, better planning mode for complex tasks, and higher code quality, while Cursor provides superior autocomplete and UX for in-IDE flow work; Copilot remains useful mainly for quick inline suggestions and ad hoc changes.

_Developers deciding whether to move on from Copilot can weigh these firsthand comparisons via daily.dev._

## Similar posts on daily.dev

- [AI Coding Tools 2026](https://daily.dev/posts/ai-coding-tools-2026-uywmgypmw) · SitePoint · 0 upvotes · 0 comments

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Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#github](https://daily.dev/tags/github), [#claude-code](https://daily.dev/tags/claude-code), [#openai-codex](https://daily.dev/tags/openai-codex)

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