Coding · Head-to-head
Cody vs Lovable
Cody (paid, AI Score 6.4/10) vs Lovable (freemium, AI Score 8.4/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick Cody if…
- →your primary use case is platform and developer-experience teams at large organisations already running sourcegraph, who need repo-wide ai answers under their own permission model and cloud-hosted inference.
Pick Lovable if…
- →you need a genuinely free option
- →budget is the constraint
- →overall capability matters more than price (AI Score 8.4 vs 6.4)
- →your primary use case is founders and product or design people with no engineering team who need a working full-stack mvp — signup, database and hosting included — rather than a frontend mockup they still have to get built.
Side-by-side specs
| Spec | Cody | Lovable |
|---|---|---|
| Category | Coding | Coding |
| Pricing model | paid | freemium |
| Headline pricing | Enterprise only — check website for current pricing | Free credit tier + Pro from ~$25/mo (credit-based) — check site for current credit allowances |
| Free tier | — | Free credit-based tier for building and publishing public projects; enough to evaluate the tool, not enough to iterate seriously on a real app |
| AI Score | 6.4/10 | 8.4/10 |
| Best for | Platform and developer-experience teams at large organisations already running Sourcegraph, who need repo-wide AI answers under their own permission model and cloud-hosted inference. | Founders and product or design people with no engineering team who need a working full-stack MVP — signup, database and hosting included — rather than a frontend mockup they still have to get built. |
| Editor's pick | — | — |
| Use cases | development | development productivity design |
| Date added | 2026-05-01 | 2025-10-01 |
Pros and cons
Cody
Coding · paid
Pros
- ✓Context comes from a real code-search index rather than a bolted-on vector store, so cross-repository answers cite actual definitions and references
- ✓Model routing through Amazon Bedrock or Azure OpenAI keeps inference inside your own cloud account — a hard requirement in regulated environments
- ✓Inherits Sourcegraph repository permissions, so it cannot surface code a user isn't cleared to see
- ✓Self-hosted and air-gapped deployment options that most AI coding assistants simply do not offer
- ✓Adds AI on top of an installation many large engineering orgs already run, rather than introducing a new vendor
Cons
- ×The self-serve Free and Pro tiers were retired in 2025 — individual developers can no longer buy this, which is a major change from earlier reviews
- ×Sourcegraph's agentic coding investment moved to Amp, so Cody no longer receives the company's headline feature work
- ×No autonomous multi-file agent loop comparable to Cursor, Claude Code, or Sourcegraph's own Amp
- ×Requires a Sourcegraph deployment and index before it delivers its one differentiator — a heavy prerequisite if you aren't already a customer
Lovable
Coding · freemium
Pros
- ✓Backend is generated with the app — Postgres, auth, storage and edge functions provisioned from the same prompt
- ✓Two-way GitHub sync means the output is a real repo you can take to an IDE and bring back
- ✓Publishing, hosting and custom domains are built in; no separate deploy step to figure out
- ✓Genuinely usable by non-developers, which most of its competitors only claim to be
- ✓Figma import and click-to-edit reduce the number of chat turns spent on visual tweaks
Cons
- ×Credit-based pricing makes spend unpredictable — a stubborn bug can burn a chunk of the monthly allowance with nothing to show
- ×Security defaults have a documented failure record: published apps have exposed data through misconfigured Supabase row-level security, and the built-in scanner is not a substitute for review
- ×Complexity ceiling is real — beyond a moderately sized app, editing by conversation becomes slower than editing by hand
- ×Web only: no native mobile builds, and the generated stack is React-shaped whether or not that suits the project
Related comparisons
Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.