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AI App Rescue
What started as an MVP now has real customers. Your business depends on it. Our senior engineers help you keep what works, address what needs attention and continue developing the product.
For established businesses
You tested a new digital service, customer portal or SaaS product with AI. Customers adopted it. Now revenue, customer relationships or daily operations depend on software that began as an experiment.
A prototype proves the idea
Customers start using it
The business depends on it
Engineering supports the next stage
You may be seeing one of these signals. The assessment helps establish which ones matter for your product.
Once customers depend on the product, reliability becomes part of their experience.
Keep / Fix / Replace
We assess the existing software against your business needs. Each recommendation explains the evidence, tradeoffs and cost of acting or leaving things as they are.
Retain code and components that work and remain suitable for the product.
Improve the parts that need clearer structure, stronger boundaries, testing or more reliable operation.
Replace a part when keeping it would create an unacceptable risk or cost more than changing it.
Discuss the app, its users, business dependency and your concerns with a senior engineer. An audit is only one possible next step.
Agree scope, components, access, deliverables, timeline and price before we review the software. Receive an actionable Production Readiness Report.
Choose the improvements to implement. Each package sets out an outcome, scope, acceptance criteria, timeline and agreed price.
Keep developing the product with the same engineering partner, through new features and further work packages as your needs change.
Production readiness means the software can support the level of business dependency placed on it. We agree the relevant review areas around your customers, operations and risks. Not every product needs every check.
We define the workflows your users rely on and estimate concurrent users, peak traffic and data growth. Together, we agree response-time, availability and retention needs. These estimates guide application and database sizing and show when a more distributed design is justified.
We check the journeys your customers depend on, such as sign-up, payments and integrations. We investigate failed or repeated actions and inconsistent records, including duplicate charges or lost work when a request is retried.
For products serving multiple companies, we compare shared and dedicated databases or infrastructure around isolation, cost and operational complexity. Our review covers customer boundaries across permissions, data queries and background jobs, alongside onboarding, deletion, subscription entitlements and data residency. We explain the tradeoffs so your team can operate the chosen model.
We identify slow database queries, overloaded services and rising infrastructure costs. We examine usage and cost per customer, and how one customer's heavy use affects others. Where needed, we apply quotas, rate limits, separate queues or dedicated resources, with capacity and running costs matched to expected growth.
We identify what can stay, what needs improvement and where rebuilding a part makes sense. We explain the tradeoffs in maintenance, cost and reliability, and choose an architecture your team can operate and extend.
We test important customer journeys and agreed fixes. We check how code and database changes reach production, and how a failed release can be rolled back or recovered from. Your team gets a repeatable way to release changes.
We make failures visible and help your team understand their cause. We check what happens when an external service stops responding, whether backups can be restored, and how service can be recovered within agreed business needs.
An executive assessment, KEEP / FIX / REPLACE decisions, evidence-based risk priorities, readiness gaps and recommended remediation. You receive an implementation sequence and proposed work packages you can act on.
Each package defines its business outcome, scope, deliverables, dependencies, exclusions, acceptance criteria, timeline and price. These examples illustrate possible work; your audit determines what is needed.
Users can access only the information and actions appropriate to their role.
The journeys customers depend on have appropriate automated tests and reliable error handling.
Your team can detect, understand and respond to production failures.
Your team can release changes and reverse a failed release through a repeatable process.
If implementation cannot yet be priced responsibly, we agree a bounded discovery question, scope, timeline, deliverable and price first. Time and materials remains available when you prefer it or the work benefits from flexible scope.
For founders and startups, too
You validated the idea. We help you understand what the product needs to retain customers and support continued growth, while preserving the work that got you here.
Built with Lovable, Bolt, Replit, Cursor, Claude Code or another AI workflow? We review the actual software and how your business uses it. The tool alone does not determine what needs to change.
Explore Lovable App RescueReRune and Fakturano are BasalBit's own products. Explore their integrations, product workflows, and the systems behind them.

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Read case studyA 30-minute conversation with a senior engineer, a verbal assessment and a recommended next step. There is no obligation and no repository access is required. It is not a code review, certification or Production Readiness Audit.
We agree scope, access, timeline, deliverables and price first. The report explains the current state, what to keep, fix or replace, evidence-based risk priorities, recommended changes and an implementation sequence with proposed work packages.
A rewrite is not the default. We preserve suitable parts and explain any recommended replacement in terms of business risk, maintainability and cost. You decide which work to commission.
No. AI App Rescue is for software developed with AI tools or vibe coding, whether or not the finished product uses AI. We work with established businesses as well as founders and startups.
The first assessment is free. The audit is paid and individually scoped. Implementation normally uses work packages with agreed outcomes and prices. A bounded discovery package can resolve unknowns first; time and materials is available where appropriate.
Yes. We can continue with new functionality, integrations and ongoing product development through further work packages or an agreed flexible engagement.
In 30 minutes, tell a senior engineer what the app does, how it was built, who uses it, what the business depends on and what concerns you. No repository access or obligation is required.
You receive a verbal assessment, not a code review, security certification or full audit. We may recommend an audit, address a specific issue, discuss continued development or conclude that an audit is unnecessary.
Senior software engineering from Germany. Working internationally.
info@basalbit.com