TypeScript vs JavaScript: Why Type Safety Prevents Production Bugs
A client's JavaScript codebase had 14 production bugs in one month. Users could not check out. Profile updates failed silently. API responses crashed the frontend.
January 8, 2025 9 min read
A client's JavaScript codebase had 14 production bugs in one month. Users could not check out. Profile updates failed silently. API responses crashed the frontend.
We converted the codebase to TypeScript. The compiler found 187 type errors before we ran the code. Fixing those errors eliminated 11 of the 14 bugs. The remaining three were logic errors TypeScript cannot catch.
TypeScript does not eliminate all bugs. It eliminates an entire category of bugs - the ones caused by passing the wrong type of data to functions. For JavaScript codebases of any meaningful size, that category accounts for 40-70% of production errors.
What TypeScript Actually Does
TypeScript is JavaScript with type annotations. You tell the compiler what type of data each variable, function parameter, and return value should be. The compiler checks your code before it runs.
JavaScript example:
TypeScript catches this:
The bug never reaches production because the code will not compile.
Categories of Bugs TypeScript Catches
Type Mismatch Bugs
JavaScript: You pass a string to a function expecting a number. JavaScript coerces types unpredictably. Sometimes it works (loose equality), sometimes it returns NaN, sometimes it throws runtime errors.
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The "billion-dollar mistake" - null references. JavaScript has both null and undefined. They behave differently. Functions return undefined when they should return values. Objects have null properties when you expect values.
JavaScript:
TypeScript with strict null checks:
You must handle the null case:
This pattern prevents "cannot read property X of null" errors - one of the most common JavaScript bugs in production.
Property Access Bugs
JavaScript: You misspell a property name. JavaScript returns undefined. Your code silently fails.
TypeScript: Compiler catches typos.
Example:
TypeScript:
Autocomplete in your editor shows available properties. You cannot make this typo because the editor prevents it.
Function Signature Bugs
JavaScript: Functions can be called with wrong number of arguments or wrong types. JavaScript ignores extra arguments, sets missing arguments to undefined.
TypeScript: Enforces exact function signatures.
Example:
TypeScript:
You are forced to pass all required data. No silent undefined values.
Real Cost of JavaScript Bugs
Production bugs cost money in ways that are hard to measure but very real.
Direct Costs
Customer support time: Users report bugs. Support team investigates. Engineering team debugs. This workflow consumes hours per bug.
Typical bug lifecycle:
User reports issue: 5 minutes
Support triages: 15 minutes
Engineer reproduces: 30 minutes
Engineer fixes: 1-3 hours
QA tests fix: 30 minutes
Deploy and verify: 30 minutes
Total: 3-5 hours minimum per bug. At $100-150/hour blended rate, that is $300-750 per bug.
The client with 14 bugs/month spent $4,200-10,500 monthly on bug fixing. Annually: $50,000-126,000.
Indirect Costs
User churn: Bugs that break checkout or core features cause users to abandon your product. Measuring exact churn from bugs is hard, but studies show reliability is a top factor in SaaS retention.
One broken checkout flow that prevents 5% of purchases for 24 hours: If your daily revenue is $2,000, you lose $100. If it takes 3 days to notice and fix: $300 lost revenue.
Reputation damage: Users who experience bugs tell others. Negative reviews mention reliability. Enterprise buyers ask about uptime and error rates in diligence.
Slower feature development: Teams spending 40% of their time fixing bugs ship 40% fewer features. Compounded over quarters, this is product velocity lost to technical debt.
TypeScript's Learning Curve
TypeScript has a learning curve. The question is whether the investment pays off.
Initial Learning Phase (1-2 Weeks)
Core concepts to learn:
Basic types (string, number, boolean, array)
Interfaces and type aliases
Function signatures
Union types (string | number)
Optional properties (name?: string)
For developers who know JavaScript, learning basic TypeScript takes 8-15 hours. That is two work days.
Intermediate TypeScript (2-4 Weeks)
Concepts that take longer:
Generics (reusable type-safe functions)
Type guards (narrowing types at runtime)
Utility types (Pick, Omit, Partial)
Complex type inference
Most developers reach productivity with these concepts in 20-40 hours of practice.
Advanced TypeScript (Months to Years)
Deep patterns:
Conditional types
Mapped types
Template literal types
Type-level programming
Most applications never need advanced TypeScript. Basic and intermediate patterns cover 95% of use cases.
The Productivity Dip
When adopting TypeScript, teams experience a 1-2 week productivity dip as they learn. After that, productivity increases because:
Bugs are caught in development, not production
Refactoring is safer (compiler catches breaking changes)
Autocomplete and editor tooling improve development speed
Code reviews require less mental overhead (types document intent)
The productivity curve crosses breakeven around week 2-3. By month 3, TypeScript teams ship faster than they did with JavaScript.
When JavaScript Still Makes Sense
TypeScript is not always the right choice.
Tiny scripts and utilities: One-off scripts that run once, small automation tools, simple CLI utilities. Adding types adds overhead with no benefit.
Prototypes that will be thrown away: If you are testing an idea for a weekend hackathon and plan to delete the code regardless of outcome, TypeScript slows you down.
Teams with zero TypeScript experience and tight deadlines: If your team has never used TypeScript and you need to ship in 2 weeks, the learning curve might not fit the timeline.
Legacy codebases with no test coverage: Converting a large JavaScript codebase to TypeScript without tests is risky. The conversion itself introduces bugs. Add tests first, then gradually migrate to TypeScript.
Migration Strategies
You do not have to rewrite everything to adopt TypeScript.
Gradual Migration
Enable TypeScript in project: Add tsconfig.json with permissive settings
Rename .js files to .ts incrementally: Start with new files, gradually migrate old ones
Add types to new code: All new files are TypeScript from day one
This approach works for active codebases. You ship features while improving type safety over months.
Full Rewrite
For smaller codebases (<10,000 lines), a full TypeScript conversion might take 1-2 weeks. Budget:
40-80 hours of engineering time
1-2 weeks calendar time
Additional 20-40 hours fixing type errors that reveal real bugs
The upfront cost pays back within 3-6 months through reduced bug fixing.
TypeScript and Team Collaboration
Types serve as documentation. They communicate function contracts better than comments.
JavaScript with comments:
Comments go stale. Code changes, comments do not. Developers ignore outdated comments.
TypeScript:
Types cannot be outdated. If the implementation changes and types do not match, the compiler fails. Types are enforced documentation.
For teams larger than 2-3 developers, this matters enormously. New team members understand function contracts immediately. Code reviews focus on logic, not "did you validate the input type?"
TypeScript and Refactoring
Refactoring JavaScript is terrifying. Change a function signature and hope you found all call sites. Rename a property and grep through the codebase looking for references.
TypeScript makes refactoring mechanical:
Change function signature or type definition
Compiler shows every location that breaks
Fix each error
When code compiles, refactor is complete
We refactored a client's checkout flow that touched 40 files. In JavaScript, this would have taken 2-3 days with careful manual testing. In TypeScript, it took 6 hours. The compiler found every call site automatically.
Refactoring confidence accelerates long-term development velocity. Teams that refactor frequently maintain cleaner code and ship faster than teams that fear breaking things.
Performance Implications
TypeScript compiles to JavaScript. The runtime performance is identical. Types are erased during compilation.
There is no performance penalty for using TypeScript in production.
The compilation step adds build time (seconds to minutes depending on codebase size). For typical applications, this is negligible.
TypeScript Ecosystem
TypeScript has become the default in modern JavaScript development:
Use TypeScript for any application that will be maintained for more than 3 months.
TypeScript is the right default for:
SaaS products
Mobile applications (React Native supports TypeScript)
API servers
Any codebase with more than one developer
Any codebase you plan to scale
JavaScript is fine for:
One-off scripts
Prototypes being thrown away
Very small tools (<500 lines)
The upfront learning investment (8-15 hours) pays back within weeks through reduced bug fixing and faster refactoring.
Every Next.js project we build uses TypeScript by default. The compile-time safety and developer experience benefits outweigh the minor learning curve.
Key Takeaways
Type safety is not academic perfectionism. It is practical bug prevention:
Bug reduction: TypeScript catches 40-70% of production bugs before code runs
Cost savings: Preventing bugs is 10x cheaper than fixing them in production
Learning curve: 1-2 weeks to productivity, lifelong benefits
Refactoring confidence: Change code without fear of breaking distant call sites
Team collaboration: Types serve as enforced documentation
JavaScript is faster for throwaway code. TypeScript is faster for everything else.
The industry has decided: TypeScript is the new default for serious JavaScript development. Start new projects with TypeScript. Migrate existing projects gradually.
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function calculateDiscount(price, discountPercent) { return price * (discountPercent / 100);}calculateDiscount(100, "20"); // Returns NaN (bug)
typescript
function calculateDiscount(price: number, discountPercent: number): number { return price * (discountPercent / 100);}calculateDiscount(100, "20"); // Compiler error: "20" is not a number
javascript
// User ID comes from URL parameter as stringconst userId = req.params.userId; // "123"// Function expects numberfunction getUserPermissions(userId) { return db.query("SELECT * FROM permissions WHERE user_id = ?", userId);}// SQL query fails or returns wrong results because "123" !== 123 in strict mode
typescript
function getUserPermissions(userId: number) { return db.query("SELECT * FROM permissions WHERE user_id = ?", userId);}getUserPermissions(req.params.userId); // Error: string is not assignable to number
const user: User = { firstName: "John", lastName: "Doe" };console.log(user.firstNam); // Error: Property 'firstNam' does not exist on type 'User'
javascript
function createOrder(userId, items, shippingAddress) { // Process order}createOrder(123, items); // Missing shippingAddress, function receives undefined
typescript
function createOrder( userId: number, items: CartItem[], shippingAddress: Address): Order { // Process order}createOrder(123, items); // Error: Expected 3 arguments, got 2
javascript
/** * Creates a new user account * @param {string} email - User's email address * @param {string} password - User's password (min 8 characters) * @param {Object} profile - User profile data * @param {string} profile.firstName - User's first name * @param {string} profile.lastName - User's last name * @returns {Object} Created user object */function createUser(email, password, profile) { // Implementation}