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The API Tooling Crisis: Why Your Favorite Tool Keeps Getting Worse

TL;DR

Postman removed offline mode. Insomnia locked collections behind mandatory login. Thunder Client paywalled git sync. The pattern is consistent: a developer tool gains adoption, raises funding or gets acquired, then reduces the free/local experience to drive paid conversion. If you want to avoid repeating migrations, evaluate API tools for three things: local-first architecture, no mandatory cloud sync, and a business model that does not depend on locking core workflows behind paid tiers. Apidog checks those boxes and covers the API lifecycle in one workspace.

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đź’ˇ Apidog is a free, all-in-one API development platform. You can design, test, mock, and document APIs without forced cloud sync or per-seat paywalls.

Introduction

A 644-point thread on r/programming asked: “The API Tooling Crisis: Why developers are abandoning Postman and its clones?”

The thread resonated because it describes a workflow problem many developers have hit:

  1. Adopt a useful API tool.
  2. Build team processes around it.
  3. Store collections, environments, and test scripts in it.
  4. Watch the tool move core functionality behind login, cloud sync, or paid plans.
  5. Migrate again.

This article breaks down the pattern, explains why it keeps happening, and gives you a practical checklist for choosing an API client that is less likely to break your workflow later.

The enshittification timeline: three tools, one pattern

“Enshittification” describes platforms degrading the user experience to extract more value from users. In API tooling, the same pattern has repeated across several popular tools.

Postman: the original breakup

Postman started as a Chrome extension for sending HTTP requests. It was simple, fast, and free. Developers adopted it widely, and it grew to 25 million users.

Then Postman raised a $225 million Series D. With that came pressure to monetize a product whose core workflow is, at its simplest, sending an HTTP request and displaying a response.

Key changes:

  • 2023: Scratchpad, the offline/local mode, was removed. Requests synced to Postman’s cloud by default.
  • 2024: Free-tier restrictions tightened. The collection runner was limited to 25 runs per month.
  • March 2026: The free plan was reduced from 3 users to 1 user. The Team plan was set at $19 per user per month.

For a three-person team, that becomes:

3 users x $19/month x 12 months = $684/year
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The pricing is only part of the issue. Mandatory cloud sync also changes the security model. API keys, auth tokens, and database credentials used in requests may be uploaded to a vendor-managed cloud. In 2023, CloudSEK found more than 30,000 public Postman workspaces leaking API keys, including credentials for Razorpay and New Relic.

For teams in banking, healthcare, government, or other regulated environments, that cloud-first model can become a compliance blocker.

Insomnia: the acquisition casualty

Many developers moved to Insomnia because it offered a cleaner local workflow:

  • Local storage
  • No account requirement
  • Simple API request management

Kong acquired Insomnia in 2019. Later, Insomnia 8.0 introduced mandatory login. Developers who had used local collections for years found those collections locked behind a sign-in screen.

The GitHub issues that followed were predictable: users did not want access to their own local API collections to depend on a cloud account.

Thunder Client: the VS Code betrayal

Thunder Client became popular because it worked inside VS Code and stored collections as JSON files. That made it lightweight and git-friendly.

The key value was simple:

API collections live next to source code.
API changes can be reviewed in pull requests.
Team sync happens through git.
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Then git-based collection sync moved behind a paywall. The workflow that made Thunder Client attractive became a paid feature.

The pattern is the same: developers build workflows, write docs, train teams, and integrate CI/CD around a tool. Then the rules change.

Why this keeps happening

This is not random. It is structural.

The VC math does not work well for utility software

An HTTP client is a utility. The core feature set is well understood:

GET /users/123 HTTP/1.1
Host: api.example.com
Authorization: Bearer <token>
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A tool sends the request, shows the response, and helps you organize repeatable tests.

The API testing tools market is projected to exceed $3.8 billion by 2026, but that market includes enterprise testing platforms, not just standalone HTTP clients.

When a simple developer utility raises large amounts of capital, it needs large returns. The common path is:

  1. Grow with a generous free tier.
  2. Move users into hosted workspaces.
  3. Add collaboration and governance features.
  4. Restrict free/local workflows.
  5. Convert teams to paid plans.

As one Hacker News commenter put it: “The UI for making API calls is such a simple problem that you can’t make supernormal profits off it.”

That tension drives many of the product changes developers dislike.

Cloud sync creates lock-in

Cloud sync can be useful when it is optional. It becomes a problem when it is required.

Mandatory cloud sync changes the switching cost:

  • Collections live in a vendor-controlled workspace.
  • Environments and variables depend on a proprietary data model.
  • Exports require conversion and validation.
  • Team workflows depend on paid seats.
  • Credentials may leave your environment.

If your API definitions are stored in plain files, migration is easier. If they are stored in a cloud workspace with proprietary metadata, migration becomes a project.

Feature bloat can hide workflow degradation

Pricing changes are often bundled with new features:

  • AI assistants
  • Flow builders
  • Monitoring dashboards
  • Governance panels
  • Enterprise workspaces

Some teams need those. Many developers do not.

For day-to-day API development, the common workflow is still:

  1. Send a request.
  2. Inspect JSON.
  3. Change headers, params, or body.
  4. Run the request again.
  5. Save the request for later.
  6. Automate checks when needed.

If the tool becomes slower, heavier, or dependent on login, the core workflow gets worse even if the feature list gets longer.

The real cost is more than the subscription

When evaluating an API client, do not only compare monthly pricing. Include performance, compliance, migration, and lock-in costs.

Performance tax

Postman’s Electron architecture can mean slow cold starts and high memory usage. For a tool developers open repeatedly during the day, startup time and memory footprint matter.

A practical way to measure this:

# macOS: inspect running process memory
ps aux | grep -i postman

# Linux: sort processes by memory
ps aux --sort=-%mem | head

# Windows PowerShell
Get-Process | Sort-Object WorkingSet -Descending | Select-Object -First 10
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Test your API client with realistic usage:

  • 10 collections
  • 50 requests per collection
  • Multiple environments
  • Pre-request and post-response scripts
  • Several open tabs

If the tool consumes excessive memory for basic request testing, that overhead becomes a daily cost.

Compliance risk

If your requests contain credentials, tokens, PHI, financial data, or internal service URLs, mandatory cloud sync may create compliance exposure.

Before adopting any tool, ask:

  • Can it work fully offline?
  • Can cloud sync be disabled?
  • Where are environments stored?
  • Are secrets encrypted?
  • Can credentials be pulled from a vault?
  • Can it run in an air-gapped environment?
  • Does it support self-hosted execution for CI or scheduled tests?

After the Vercel April 2026 breach, which exposed environment variables stored without encryption, security teams have more reason to scrutinize any tool that touches API credentials.

Migration cost

Every migration costs engineering time:

  • Export collections
  • Convert formats
  • Recreate environments
  • Validate variables
  • Rewrite scripts
  • Update CI/CD jobs
  • Retrain developers
  • Update internal docs

A migration that seems simple can become expensive when collections are large or deeply integrated into team workflows.

Vendor lock-in cost

Postman’s collection format uses internally generated UUIDs and nested JSON structures. That can make git diffs hard to read.

For example, a useful API change should be reviewable like this:

- GET /api/v1/users
+ GET /api/v2/users
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But proprietary collection formats often produce noisy diffs with unrelated metadata changes.

Prefer formats and workflows that make API definitions:

  • Human-readable
  • Diffable
  • Mergeable
  • Reviewable in pull requests
  • Easy to export

What developers actually need from an API client

Most developers do not need an enterprise platform for every request. They need a reliable API workflow.

Use this as your baseline requirement list.

1. Send a request and inspect the response

Core request types should be easy:

curl -X POST "https://api.example.com/users" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Ada Lovelace",
    "role": "engineer"
  }'
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Your API client should make the same workflow easier, not harder.

2. Keep data local by default

Collections, environments, and variables should be usable without a vendor cloud account.

A good local-first workflow looks like this:

repo/
  api/
    collections/
    environments/
    tests/
  src/
  README.md
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3. Work offline

You should be able to:

  • Open the app
  • View collections
  • Create requests
  • Run requests against local services
  • Execute tests
  • Edit environments

without signing in or connecting to the internet.

4. Work well with git

API definitions should support code review.

Good:

+ Header: X-Request-ID
+ Query param: includeInactive=false
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Bad:

- "id": "7e4a8f2..."
+ "id": "b39d11c..."
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5. Use reasonable resources

An HTTP client should not need a gigabyte of memory for normal usage. Native performance matters because the tool stays open all day.

6. Price core functionality fairly

Basic collaboration, local usage, and request execution should not be artificially gated. Paid plans should unlock additional value, not restore removed basics.

How to evaluate your next API client

Before moving your team to another tool, run this checklist.

1. Check the funding and business model

Ask:

  • Is the tool VC-backed?
  • Is it owned by a larger vendor?
  • Does the roadmap prioritize enterprise collaboration over local workflows?
  • Is the free tier stable and clearly defined?
  • Are core features likely to become paid features?

No model is perfect, but the funding model affects product incentives.

2. Test offline behavior

Do this before importing your full workspace.

# Step 1: disconnect from the internet
# Step 2: open the API client
# Step 3: try common workflows
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Verify that you can:

  • Open existing collections
  • Create a new request
  • Edit variables
  • Run tests
  • Use local mock servers
  • Export data

If the app breaks without internet, cloud dependency is part of the architecture.

3. Inspect the export format

Export a collection and open it in a text editor.

Check:

  • Is it readable?
  • Are URLs, methods, headers, and bodies obvious?
  • Are diffs clean?
  • Are there random IDs everywhere?
  • Can it live in git without creating review noise?

4. Measure resource usage

Run a small benchmark:

  1. Open the app fresh.
  2. Load your largest collection.
  3. Open several requests.
  4. Run a few test scenarios.
  5. Check memory and CPU.

Use the same workload across tools so your comparison is fair.

5. Verify import and export paths

At minimum, check support for:

  • Postman Collection v2.1
  • OpenAPI/Swagger
  • Insomnia exports
  • cURL
  • HAR files
  • Environment variables

A tool that makes it easy to arrive and easy to leave is safer to adopt.

6. Read the roadmap for red flags

Watch for:

  • Mandatory accounts
  • Cloud-only workspaces
  • Local mode removal
  • Collaboration features that require paid seats
  • Git sync moving behind paid plans
  • Export limits
  • Execution limits on basic test runs

Those changes usually signal monetization infrastructure.

Breaking the cycle with Apidog

Apidog is designed around a different API workflow: local-first usage, optional cloud collaboration, and full API lifecycle coverage in one workspace.

Here is how that maps to the problems above.

Full API lifecycle in one workspace

Apidog combines:

  • API design
  • API development
  • API testing
  • Mocking
  • Documentation

That means you do not need separate tools for:

Postman-style testing
Swagger-style documentation
Standalone mock servers
Manual API docs
Separate test scenario runners
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A unified API workflow helps avoid drift:

API spec -> request definitions -> tests -> mocks -> documentation
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When these artifacts live separately, teams often end up with stale docs, outdated mocks, or tests that no longer match the implementation.

Local-first, cloud-optional

Apidog works offline. Collections, environments, and test data can live on your machine.

Cloud sync is available for collaboration, but it is opt-in rather than mandatory.

For compliance-sensitive teams, this matters because you can keep API testing workflows local or inside controlled infrastructure. Enterprise teams can use the self-hosted Runner to keep API testing infrastructure inside their own network.

One-click Postman import

A practical migration from Postman starts with exporting your collections.

Step 1: Export from Postman

Export collections as Postman Collection v2.1 JSON.

You should also export environments if your requests depend on variables.

Step 2: Import into Apidog

In Apidog:

Import -> Select exported Postman JSON files -> Confirm import
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Apidog imports Postman Collection v2.1 JSON and preserves folder structure, variables, and scripts.

It can also import from:

  • OpenAPI/Swagger
  • Insomnia
  • cURL
  • HAR files
  • WSDL definitions

Step 3: Validate the mapping

Use this conceptual mapping:

Postman Apidog
Collection Project / Module
Request API Endpoint
Environment Environment
Collection Variable Module Variable
Pre-request Script Pre-processor
Post-response Script Post-processor

Step 4: Run a smoke test

After import, validate the most important requests first:

1. Authentication request
2. Core GET endpoint
3. Core POST endpoint
4. Error response case
5. Environment-specific request
6. Request with pre/post scripts
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Step 5: Move API definitions into version control

If your team uses git as the source of truth, set up scheduled imports from git repositories so API definitions stay synchronized with version-controlled files.

Fair pricing that does not punish small teams

Apidog’s free tier supports up to 4 users with full feature access. There are no artificial limits on collection runs.

That matters for small teams because the cost difference can be immediate.

Example using the Postman Team price described earlier:

Postman Team:
3 users x $19/month x 12 = $684/year

Apidog free tier:
Up to 4 users = $0/year
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The important evaluation point is not only price. It is whether the free tier allows real work without forcing a migration once your team starts collaborating.

Native performance

Apidog is not built on Electron. It starts quickly, uses less memory, and remains responsive with large collections.

For a developer tool used throughout the day, that affects real productivity:

Faster startup
Lower memory footprint
Less context switching
Less friction during debugging
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Zero npm dependency for core functionality

After the Axios npm supply chain attack on March 31, 2026, which injected a cross-platform RAT into 83 million weekly downloads, developers have been re-evaluating dependency chains.

Apidog’s core HTTP functionality does not depend on npm packages. For an API testing tool, reducing supply-chain exposure is a meaningful security design choice.

Vault integration for credential security

Instead of syncing API keys to a third-party cloud, Apidog integrates with:

  • HashiCorp Vault
  • Azure Key Vault
  • AWS Secrets Manager

This allows credentials to stay encrypted and managed by infrastructure you control.

Apidog supports 13 authentication methods, including basic auth and mutual TLS.

A safer credential workflow looks like this:

API client -> vault reference -> secret manager -> runtime credential
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Instead of:

API client -> synced environment variable -> vendor cloud
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Real-world scenarios

Fintech startup: 8 developers

A payment processing team was paying:

8 users x $19/month x 12 = $1,824/year
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Their compliance team flagged Postman’s mandatory cloud sync as a PCI DSS risk.

Migration path:

  1. Exported 340 Postman collections.
  2. Imported them into Apidog.
  3. Connected the existing HashiCorp Vault instance.
  4. Resumed testing the same day.

Result:

Annual savings: $1,824
Compliance risk from mandatory cloud sync: removed
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Healthcare SaaS: 3 developers

A HIPAA-covered entity needed to test APIs that handle patient health information.

Postman’s cloud sync was not acceptable for their workflow. They evaluated:

  • Bruno: too limited for their mocking needs
  • Hoppscotch: no vault integration
  • Apidog: self-hosted Runner and mTLS support met their requirements

They used Apidog’s built-in Smart Mock to generate realistic test data without exposing real patient records.

Solo developer

A freelance developer was paying:

$228/year for Postman Professional
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They switched to Apidog’s free tier and kept the workflows they needed:

  • REST testing
  • GraphQL testing
  • Environment variables
  • Automated test scenarios
  • Auto-generated API documentation for client deliverables

Result:

Annual savings: $228
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Practical migration checklist

If you are considering moving away from Postman or another API client, use this checklist.

Inventory your current workspace

Document:

Number of collections
Number of environments
Shared variables
Pre-request scripts
Post-response scripts
Mock servers
CI/CD integrations
Secrets and tokens
Team members
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Export everything

From your current tool, export:

  • Collections
  • Environments
  • Global variables
  • Test scripts
  • OpenAPI specs, if available

Keep the raw exports in a migration branch:

git checkout -b api-client-migration
mkdir -p api-migration/postman-exports
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Import into the new tool

Start with the highest-value collection.

Validate:

  • Auth works
  • Environment variables resolve
  • Scripts execute
  • Response assertions pass
  • Folder structure is preserved

Run critical requests side by side

For each important endpoint, compare:

Old tool response status
New tool response status
Response body
Headers
Auth behavior
Variable substitution
Test results
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Update team docs

Add a short internal migration guide:

# API Client Migration

## Install
Use Apidog.

## Import
Import the project from the shared workspace or local export.

## Environments
Use `dev`, `staging`, and `prod`.

## Secrets
Do not store secrets directly in shared variables.
Use the configured vault integration.

## Smoke test
Run the `Auth`, `Users`, and `Payments` scenarios.
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Update CI/CD if needed

If API tests are part of CI, confirm your runner setup before removing the old tool.

Check:

  • Test command
  • Environment injection
  • Secret access
  • Exit codes
  • Reports
  • Scheduled runs

Conclusion

The API tooling crisis is not only about Postman. It is about a business model that treats developer utilities as growth-stage platforms. When revenue depends on converting free users into paid seats, local workflows and free collaboration become vulnerable.

What to do now:

  • Test whether your current API client works offline.
  • Export your collections and inspect the format.
  • Calculate your real cost, including compliance and migration risk.
  • Check whether your API definitions can live in git.
  • Evaluate alternatives against the six criteria above.
  • If you use Postman, import your collections into Apidog and test the workflow directly.

Developers are not frustrated because they want everything for free. They are frustrated because tools they trusted changed the rules after becoming part of daily engineering workflows.

Choose an API client that keeps your data portable, supports local work, and aligns its business model with how developers actually build APIs.

FAQ

Why are developers leaving Postman in 2026?

Three common reasons are the reduction of the free team plan to 1 user, mandatory cloud sync creating security and compliance concerns, and degraded performance with slow startup times and high memory usage. The March 2026 pricing change, with Team pricing at $19/user/month, was a tipping point for many teams.

What is the best free Postman alternative in 2026?

Apidog is a complete free alternative for teams that need API design, testing, mocking, documentation, vault integrations, and no mandatory cloud sync. Bruno and Hoppscotch are also strong options for simpler use cases: Bruno for git-native workflows and Hoppscotch for browser-based testing.

Is Postman still worth using?

For solo developers who are comfortable with cloud sync, Postman can still work. For teams, the $19/user/month pricing, mandatory cloud storage, and performance issues make it harder to justify. In regulated industries such as healthcare, finance, and government, Postman’s cloud-first architecture may not meet compliance requirements.

How do I migrate from Postman to Apidog?

Export your Postman collections as Collection v2.1 JSON files. In Apidog, use Import and select the exported files. Apidog preserves folder structure, variables, environments, and scripts. You can also import from OpenAPI specs, Insomnia, cURL, and HAR files.

Is Apidog free for teams?

Yes. Apidog’s free tier supports up to 4 users with full feature access, including API testing, mocking, documentation, and collaboration features. There are no artificial limits on collection runs or API calls.

What happened to Insomnia as a Postman alternative?

Kong acquired Insomnia in 2019. Version 8.0 introduced mandatory login, which locked users out of local collections unless they signed in with a cloud account. Many developers who moved from Postman to Insomnia encountered the same forced-cloud pattern they were trying to avoid.

Does Apidog work offline?

Yes. Apidog works offline. Collections, environments, and test data can be stored locally. Cloud sync is available for collaboration but is opt-in, not required. Enterprise teams can use the self-hosted Runner for air-gapped operation.

How does Apidog compare to Bruno and Hoppscotch?

Bruno is strong for file-based, git-native workflows with its .bru format. Hoppscotch is browser-based and requires no installation. Apidog covers the full API lifecycle, including design, testing, mocking, documentation, CI/CD, vault integrations, 13 auth methods, and AI-powered test generation. Use Bruno for git-first simplicity, Hoppscotch for quick browser testing, and Apidog for a more complete API platform.

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