Cody vs Lovable

Cody (Sourcegraph) and Lovable (Lovable) compared head-to-head: prices from $9 and $0, large repo context vs. model-dependent context, free tiers, models, limits plus strengths and weaknesses. Find out which AI coding agent fits your workflow.

Cody vs Lovable — Category side-by-side

Provider	Cody Sourcegraph	Lovable Lovable
From /month	$9	Free
Billing	subscription	freemium + credits
Top models	Claude Sonnet 4, GPT-5, Gemini 2.5 Pro	Claude Sonnet 4, GPT-5
Context	large repo context	model-dependent
Limits	multi-model with repo-graph context	credit-based
Free tier	limited free tier	yes — limited free credits
Best for	Large, multi-repo codebases needing code search + AI	Building & shipping fullstack apps with minimal coding
Strengths	Whole-codebase context via code graph Multi-model Enterprise search	Deploy-from-prompt Beginner-friendly Fullstack output
Weaknesses	Best value is in big repos Editor experience varies	Credit-based Less granular control

Recommendation by priority

💰 On a budget? Lovable ($0) is cheaper than Cody ($9).

Lovable is especially strong when you care about "Building & shipping fullstack apps with minimal coding".

Go to Cody → Go to Lovable →

Frequently asked questions: Cody vs Lovable

Cody or Lovable: which is cheaper?

The entry price depends on each provider and plan tier. This page shows the current indicative values side by side.

Which offers more context — Cody or Lovable?

Cody reaches large repo context, Lovable reaches model-dependent. More context helps with long files and large repos.

Is there a free tier for Cody or Lovable?

Yes — details on free tiers and free quotas are in the side-by-side table above.