Home/Compare/Aedeon vs greenfield AI app builders
Lovable, Replit, Bolt, v0 and Base44 build new software from a sentence. Aedeon is the system of record for how your software actually works, and the engine that evolves it.
Use an AI app builder when the job is a new app on open ground, such as a prototype, an internal tool or a customer portal. When the job is a change to systems the business already runs, use Aedeon. It maps every application, database, pipeline and business rule first, then checks the changed system against the old one on production traffic before it ships.
Customer proof · The New York Times · PLATO · Oracle 12c → Aurora PostgreSQL · live June 1, 2026
The New York Times evolved PLATO off Oracle onto Aurora with Aedeon, verified against production traffic before it shipped.
The short answer
Greenfield AI app builders turn a prompt into a new, working web app on a stack they choose, and they are among the fastest ways to get one. Aedeon does a different job. It changes software that is already in production, across the applications, databases and pipelines that depend on each other, and it verifies the result against the old system before anything ships.
AI app builders
Lovable, Replit, Bolt.new, Vercel v0 and Base44 generate full-stack apps from natural language. Each runs a modern stack it picks, often React with a Postgres or Supabase backend, and most host the result. All five now sell enterprise tiers with single sign-on, and most add audit logs.
Aedeon
Aedeon reads the estate you already have into one living graph, Aedeon Graph. You state an outcome in one sentence. Aedeon Supervisor writes the plan and its estimated cost, a person approves each gate, and Aedeon Evolve verifies the change on production traffic.
Which to choose
Greenfield vs brownfield software development comes down to what already depends on the system. Pick an AI app builder for new software, when speed matters more than fit with what already exists. Aedeon is the better fit when the work touches a system with users, data and dependencies, and someone has to sign off that it still behaves the same.
Where the work is
Greenfield tools win on speed when the work is new. For a CIO, the question is how much of the portfolio is new work. Public data from government, analysts and the category itself points the same way.
is what US federal agencies report spending on operations and maintenance of existing IT, out of more than $100 billion a year.
US GAO, GAO-25-107795, July 2025
of developers’ time went to building applications in 2024. Requirements, security, CI/CD, deployment and monitoring took most of the rest.
IDC, as reported by InfoWorld, February 2025
“90% of what we need to do is make changes to an existing code base.” Tom Occhino, Chief Product Officer, Vercel.
VentureBeat, February 3, 2026
Vendors in the category see it too. Vercel relaunched v0 in February 2026 to work inside existing GitHub repositories, with branches and pull requests.
The category in 2026
These five lead the category by funding, revenue or users, and each now sells an enterprise AI app builder tier with single sign-on. Every detail below comes from the vendor’s own documentation, pricing page or announcements unless a news source is named, checked October 28, 2026.
Vendor · 01
Vendor · 02
Vendor · 03
Vendor · 04
Vendor · 05
Google is closing Firebase Studio. Sign-ups stopped on June 22, 2026, the service shuts down on March 22, 2027, and Google points users to Google AI Studio and Antigravity.
The import test
Several builders can now open an existing repository, and their own documentation lists what comes across. Read line by line, that list describes the parts of a running system a change has to protect.
v0, Bolt and Replit import GitHub repositories. Lovable’s Git sync cannot connect to an existing repository.
Reads every connected repository, with COBOL and PL/I in the same graph as Java, .NET, C++, Python, SAP ABAP and Oracle Forms.
Lovable: the repository never holds the data inside your database. Replit: builder imports do not migrate existing database records.
Maps schemas and stored procedures, and runs data checks alongside application and behavior checks before a gate opens.
Not described in the import documentation.
Part of the graph. In the billing example on aedeon.ai, the rate-tier rule lives in the stored procedure sp_calc_rate_tier.
Not described. Replit lists platform-specific services that do not run in Replit by default among the things it does not migrate.
Data pipelines, ETL and jobs are entities in the graph. The nightly reconciliation job, ops/nightly_recon.py, surfaced as step 4 of the Oracle plan.
Lovable syncs one branch at a time. Bolt does not merge branches in-app. Base44 supports a main branch only.
Every change lands in your Git with its source, analysis, model, approvals and verification runs.
Bolt suggests splitting files longer than about 700 lines, because large files fill the context window.
Aedeon Graph parses code the way a compiler does and keeps the result, so a plan does not depend on what fits in a prompt.
Documentation lines from Lovable, Replit, Bolt, Vercel v0 and Base44, checked October 28, 2026. “Not described” means the import documentation does not mention it.
Credit where it is due
The category earned its growth. Three strengths stand out in the vendors’ own customer stories and in independent coverage.
App builder strength · 01
Replit says Talkdesk built an app in two days that would normally take two weeks. Bolt says Digital Virgo cut its time to launch from 12 months to three or four.
App builder strength · 02
Replit says Zillow employees built more than 7,000 apps in a year. TechCrunch reports Workday, Asana and Nvidia among Lovable’s enterprise customers.
App builder strength · 03
Lovable for enterprise teams added EU inference, own-domain publishing and scheduled audit-log export in October 2026. Replit’s Enterprise plan can run the data plane in your own cloud tenant.
Vibe coding security
Vibe coding risks follow the access a platform grants and the defaults it ships. The public record below is dated, and each vendor responded with new controls.
Question 01 · Lovable FAQ · 2026
Lovable’s FAQ says its scans “support secure development but do not guarantee it,” and recommends a professional review for apps that handle sensitive data. Its terms bar protected health information and payment card data.
Question 02 · Replit · July 2025
During a code freeze, Replit’s agent deleted a production database holding records on 1,206 executives. Replit’s CEO called it unacceptable, and Replit added automatic separation of development and production databases.
Question 03 · Base44 · July 2025
Wiz found that an attacker with only an app’s public ID could register on private Base44 apps and bypass single sign-on. Wix fixed it within 24 hours and found no sign it was abused.
Question 04 · Veracode · July 2026
In Veracode’s July 2026 tests, about 44 percent of AI code-generation tasks introduced a security vulnerability. The average pass rate was 56 percent, close to the 55 percent of a year earlier.
Aedeon puts those controls in front of every change. Nothing executes until a person approves the gate in front of it, every claim must cite the code, and production traffic decides whether the change ships.
Where Aedeon is different
Aedeon is built for brownfield software development: the systems with users, data and years of history behind them.
Aedeon Graph connects to repositories, databases, pipelines and cloud, and parses code the way a compiler does. It maps 99 percent of business logic automatically and flags the rest as gaps for your team.
The graph resolves 15 kinds of entity and 16 kinds of relationship, including stored procedures, database policies, ETL jobs and configuration. In the billing example on aedeon.ai, one change reaches a stored procedure, a nightly job, two compliance checks and a BI feed.
When an Aedeon agent says “these seven services read this table,” it has to point to the files, line ranges and schema objects behind it, at specific versions. A claim without a valid citation is rejected before it reaches a plan step.
Before anything lands, the changed system runs against the old one on production traffic, with data, application and behavior checks in parallel. The New York Times change replayed 2,412,880 requests with zero divergences.
Aedeon works toward the destination you choose, and every change lands in your own Git with its full history. If you stopped paying Aedeon tomorrow, the code, the history and the approvals stay in your repository.
Side by side
| AI app builders | Aedeon | |
|---|---|---|
| What it is | Prompt-to-app platforms that generate and host new web and mobile apps | A system of record for how your software works that plans, performs and verifies change |
| Primary user | Founders, designers and product teams, plus developers who prototype | VPs of Applications and Engineering, CIOs, and the architects who approve plans |
| Starting point | A prompt, a design file or a template | A map of your existing systems, built from your own code |
| Stack | The vendor’s chosen stack, such as TanStack Start at Lovable or Next.js at v0 | What you already run, from COBOL and PL/I to Java, .NET and SAP ABAP |
| Existing systems | Repository import at v0, Bolt and Replit; database connectors so new apps can read and write enterprise data | Applications, databases, stored procedures, pipelines and business rules in one version-stamped graph |
| How work is checked | Security scans on publish, previews and your team’s review | Production traffic replayed against the old system; a divergence stops the gate |
| Human control | Chat with the agent; enterprise tiers add publishing policies and admin approval | A person approves every gate before it runs; every claim must cite the code |
| What you keep | The generated app, exportable to GitHub on most platforms | Commits with full provenance in your Git, and a graph you can export |
| Deployment | Hosted by the vendor; enterprise options such as Replit’s data plane in your cloud tenant | A private VPC in your cloud; your cloud or multi-cloud on Max; single-tenant sovereign region and air-gapped on Virtual Private Aedeon |
| Pricing model | Monthly plans metered in credits, tokens or messages | Platform plans plus credits; every change priced before approval |
| Best fit | New apps, prototypes and internal tools | Changes to systems that already run the business |
App builder details from Lovable, Replit, Bolt, Vercel v0 and Base44 documentation and pricing pages, checked October 28, 2026.
Pricing as of October 28, 2026
Entry plans cluster between $16 and $25 a month, and Aedeon Pro is $20. The meters underneath count different things.
| Entry paid plan | Team or business plan | What the meter counts | |
|---|---|---|---|
| Lovable | Pro: $25 a month for 100 credits | Business: $50 a month; SSO, training opt-out by default | Credits per message; “Make the button gray” costs 0.50 |
| Replit | Core: $20 a month, or $18 billed annually | Pro: $100 a month; 10 parallel agents | Effort-based pricing that scales with request complexity |
| Bolt.new | Pro: $25 a month | Teams: $30 per member a month; SSO | Tokens; Pro starts at 10M a month |
| Vercel v0 | Free, with a limit of 7 messages a day | Business: $100 per user a month | Credits, with monthly and daily allowances |
| Base44 | Starter: $16 a month, billed annually | Builder $40 and Pro $80 a month, billed annually | Message credits and integration credits |
| Aedeon | Pro: $20 a month, 800 credits | Team $80 and Max $200 a month; Virtual Private Aedeon from $50,000 a year | Credits, where one credit is 1,000 AI tokens; each change shows its estimated cost before approval |
How builders meter
Spend follows the conversation. Lovable’s Pro plan scales to $2,250 a month for 10,000 credits, and Replit charges more as requests get more complex.
How Aedeon meters
Aedeon meters evolution credits. Every plan shows its estimated cost before anyone approves it, and you pay for the credits the steps actually used. Production change runs on Max and Virtual Private Aedeon.
Decide
Many enterprises will run both. New ideas get built on an app builder, and the systems those apps depend on change through Aedeon, with every commit in your Git.
Answers
Start here
Connect one repository and watch the graph build in about an hour. Then describe one change and see the plan, the systems it touches and its estimated cost before anything runs.
