Load a sample
Start from a built-in recipe so the flow and sample input are visible immediately.
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Input and output are processed in this browser for this tool.
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Install byteflow.tools for faster startup and offline access to browser-local tools. External-request tools still need network when you run their lookup actions.
Install guideChain local developer tools into repeatable browser-only recipes with import, export, sharing, and local saves.
A recipe passes the initial input through each step from top to bottom, then shows the final output and run log.
Start from a built-in recipe so the flow and sample input are visible immediately.
Add, remove, reorder, or tune public options before running the recipe.
Run locally, review the final output, and check per-step status in the log.
Run the recipe to see status, duration, skipped steps, and output size.
Run the recipe to inspect per-step status, warnings, and errors.
Inspect every step without saving payloads. Runtime previews stay in memory until the page changes.
Recipes run from top to bottom. Previous output is passed into the next step unless a step is set to Constant input.
Recipes can include up to 12 steps. The browser also enforces input and output byte limits so local runs stay responsive.
Tools can repeat. Validation checks adapter versions and options, while compatibility hints flag handoffs such as text output into JSON input.
Save, Export JSON, and Share URL keep structure and reviewed persistent options only. Runtime input, outputs, logs, files, Constant input, schemas, and regex patterns are stripped.
Chain local developer tools into repeatable browser-only recipes with import, export, sharing, and local saves. This guide provides practical usage notes, troubleshooting checks, and safe handling recommendations.
Pipeline Builder inspects, compares, or explains technical inputs so teams can diagnose issues faster.
It surfaces actionable findings for debugging, triage, and cross-team communication.
It keeps analysis evidence in one place to reduce context switching during incident response.
Diagnostic input
Paste logs, payloads, or config snippets relevant to the issue.
Comparison input
Provide baseline and current samples to inspect differences.
Analysis output
Capture key findings and risk signals from the inspected input.
Investigation note
Document assumptions, anomalies, and next validation steps.
Input sample is incomplete
Start with minimal reproducible evidence, then expand scope.
False conclusions from noisy data
Compare against clean baseline samples before deciding.
Findings are not actionable
Translate output into concrete next checks and ownership notes.
For the shared privacy terminology, local processing model, external-request labels, and DevTools verification workflow, see the Trust Center.
Pipeline Builder is most effective when it produces a focused, reproducible evidence bundle that can be handed to the next engineer without extra cleanup.
JSON Formatter
Format, validate, and minify JSON payloads instantly.
Base64 Encode/Decode
Encode text to Base64 format or decode it back to a readable string.
URL Encode/Decode
Encode text for safe URL transmission or decode it back to readable string.
Log Scrubber
Redact secrets, tokens, emails, IP addresses, and credentials from logs locally before sharing.
How should I use Pipeline Builder during incidents?
Use it to gather consistent evidence before diving into deeper system-level debugging.
Can analysis output be shared directly?
Yes, but redact sensitive fields before posting outside trusted channels.
Does this replace observability tooling?
No. It complements logs and APM by accelerating focused local analysis.