What is the core difference between Total Shift Left and Speedscale?

Speedscale captures real production traffic and replays it for testing — a method that needs an already-running system generating real requests to learn from. Total Shift Left generates tests directly from your OpenAPI, Swagger, or WSDL contract, so you can test before any traffic exists.

Can I use Total Shift Left before my API has production traffic?

Yes. Because generation is spec-driven, Total Shift Left works from day one — as soon as you have an OpenAPI, Swagger, or WSDL definition. Traffic-capture tools like Speedscale need a live system to record requests from first.

Does Speedscale require production data to leave our environment?

Speedscale's model captures production traffic and, for its cloud platform, routes it through their capture layer. Total Shift Left's spec-driven approach with a self-hosted LLM option (Ollama, vLLM, or LM Studio) means neither your API contract nor request/response payloads need to leave your perimeter — a materially different data-exposure profile for regulated environments.

Is Speedscale open source?

Speedscale's core cloud platform is not open source. They offer a free CLI tool called proxymock (installable via Homebrew) that captures and replays traffic locally. Speedscale Cloud, the paid platform, offers a 30-day free trial with no credit card required.

Is traffic-capture testing a bad approach?

No — it has genuine strengths. Testing against real, recorded request patterns can catch issues that synthetic or spec-derived tests miss, and it's well suited to regression testing of systems already in production. The tradeoff is that it depends on traffic existing first and on routing that traffic through a capture layer, whereas spec-driven generation works from the contract alone, before or after launch.

Comparison

Total Shift Left vs Speedscale

Name: Total Shift Left
Brand: Total Shift Left
Availability: InStock

Speedscale captures and replays real production traffic. Total Shift Left generates tests directly from your API contract — no live traffic, and no third-party capture layer, required.

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Why teams move from Speedscale to Total Shift Left

Speedscale is a solid choice for regression testing against real-world traffic on systems already in production. Total Shift Left takes a different, complementary path: generate tests straight from your contract, before traffic ever exists.

Test before you launch

Spec-driven generation means you don't need a running system generating real traffic first. Import your OpenAPI, Swagger, or WSDL and start testing immediately.

Nothing leaves your perimeter

With a self-hosted LLM (Ollama, vLLM, or LM Studio), your API contract and payloads never have to be routed through a third-party capture layer — a meaningfully different data-exposure profile for regulated teams.

Coverage you can measure

Endpoint, method, status-code, and parameter coverage are tracked against your full contract, not just the traffic patterns that happened to be captured.

Feature-by-feature comparison

Feature	Total Shift Left	Speedscale
Test creation approach	AI-generated from OpenAPI/Swagger/WSDL specs — works before traffic exists	Captures real production traffic, then replays/mocks it for tests
Data source for tests	Your API contract — no live traffic required	Live or recorded production traffic (via proxymock or cloud capture)
Day-one readiness	Generate tests as soon as a spec exists, pre-launch	Requires a running system already generating real traffic to learn from
Open source	Forever-free Citizen Developer Edition	Core platform is not open source; "proxymock" CLI is a free capture/replay tool
Protocol support	REST, SOAP/WSDL, GraphQL with spec-driven automation	Traffic-based capture across HTTP-based APIs
Coverage tracking	Endpoint, method, status code, parameter coverage with gap identification	Coverage reflects captured traffic patterns, not full contract surface
Contract validation	Built-in schema validation against OpenAPI; fail builds on drift	Validates AI-generated code changes against captured traffic as ground truth
Data exposure model	Self-hosted LLM option (Ollama/vLLM/LM Studio) keeps spec and payloads in your perimeter	Requires routing captured production traffic through their capture layer
CI/CD integration	Native plugins for Jenkins, GitHub Actions, Azure DevOps, GitLab, CircleCI, Bitbucket	CI/CD integration for automated replay of captured traffic
API mock server	Built-in static & dynamic mocks with condition-based responses	Mocks generated from captured traffic
Regression testing basis	Regenerated from spec changes; adapts to non-breaking contract updates	Regression against recorded real-world request/response patterns
Pricing	Forever-free Citizen Developer Edition + 15-day Enterprise trial; transparent custom pricing	30-day free trial (no credit card); custom Enterprise pricing, no public per-seat rate

Enterprise readiness

What procurement, security, and platform-engineering actually ask about — deployment posture, AI policy alignment, access control, and audit evidence.

Feature	Total Shift Left	Speedscale
Deployment options	SaaS, single-tenant private cloud, or fully self-hosted on your infra	Speedscale Cloud (SaaS); proxymock CLI runs locally for capture/replay
Self-hosted LLM (no spec leaves your perimeter)	Yes — Ollama, vLLM, LM Studio, or any OpenAPI-compatible endpoint inside your perimeter	Not found — AI validation works against captured traffic, not a self-hosted LLM for generation
Air-gapped support	Supported — no required outbound network calls when using a local model	Not published
Multi-protocol coverage (REST + SOAP + GraphQL)	REST, SOAP/WSDL, and GraphQL — all first-class	Traffic capture across HTTP-based APIs
SSO (SAML / OIDC / Azure AD)	SAML 2.0 / OIDC / Azure AD (Entra ID) — available on Enterprise, with auto-provisioning and group-to-role mapping	Not published
Role-based access control	Five built-in roles, project-scoped assignment	Not published
Audit log + exportable evidence	Built-in audit log capture, exportable per release	Not published
Encrypted credential storage	AES-256 at rest; bring-your-own-key for any cloud LLM you choose	Not published
Data residency control	Data stays in your deployment region (or on-prem) by default	Not published — production traffic is routed through Speedscale Cloud
SOC 2 attestation	SOC 2 on roadmap — security questionnaire response shared on architect call	Not published

Wording is current as of publication and reflects publicly documented behavior of each tool. Talk to your procurement and security teams before relying on any single row for a buying decision — we share our security questionnaire response on the architect call.

Which tool is right for you?

Choose Total Shift Left if you...

+ Need to test before production traffic exists
+ Want AI-generated coverage from your OpenAPI/WSDL spec
+ Operate in a regulated industry and need contracts and payloads to stay in your perimeter
+ Need built-in coverage tracking against your full contract
+ Want a managed platform with native CI/CD plugins

Speedscale might be better if you...

- Have a system already in production generating real traffic
- Want regression tests built from actual recorded request patterns
- Are validating AI-generated code changes against real traffic as ground truth
- Want a free local capture/replay CLI (proxymock) to start with

Frequently asked questions

support@totalshiftleft.com

to learn more

What is the core difference between Total Shift Left and Speedscale?
Speedscale captures real production traffic and replays it for testing — a method that needs an already-running system generating real requests to learn from. Total Shift Left generates tests directly from your OpenAPI, Swagger, or WSDL contract, so you can test before any traffic exists.
Can I use Total Shift Left before my API has production traffic?
Yes. Because generation is spec-driven, Total Shift Left works from day one — as soon as you have an OpenAPI, Swagger, or WSDL definition. Traffic-capture tools like Speedscale need a live system to record requests from first.
Does Speedscale require production data to leave our environment?
Speedscale's model captures production traffic and, for its cloud platform, routes it through their capture layer. Total Shift Left's spec-driven approach with a self-hosted LLM option (Ollama, vLLM, or LM Studio) means neither your API contract nor request/response payloads need to leave your perimeter — a materially different data-exposure profile for regulated environments.
Is Speedscale open source?
Speedscale's core cloud platform is not open source. They offer a free CLI tool called proxymock (installable via Homebrew) that captures and replays traffic locally. Speedscale Cloud, the paid platform, offers a 30-day free trial with no credit card required.
Is traffic-capture testing a bad approach?
No — it has genuine strengths. Testing against real, recorded request patterns can catch issues that synthetic or spec-derived tests miss, and it's well suited to regression testing of systems already in production. The tradeoff is that it depends on traffic existing first and on routing that traffic through a capture layer, whereas spec-driven generation works from the contract alone, before or after launch.

The capabilities behind the difference

Where Total Shift Left pulls ahead of Speedscale — see exactly how each capability works.

Test from your spec — no traffic required

Free Citizen Developer Edition. No credit card. Or start a 15-day Enterprise trial that mirrors the full platform.