Capture routes and retained flows
Preserve the pages, routes, and interaction paths that define the application’s observable behavior.
Kalu Kode · Deployed software evidence · Early access
KodeCapturepreserves the observable truth of a deployed web application—pages, routes, assets, requests, storage, and runtime signals—and packages it into a replayable evidence workspace.
Founder-led. Pre-release. Currently onboarding design partners and early technical users.
The first-mile problem
Modern web applications are not just HTML files and static assets. They depend on runtime routes, dynamic requests, storage state, client-side logic, and interaction-dependent behavior.
Before preservation, recovery, audit, or a risky change, the first problem is not editing code. The first problem is capturing what actually exists.
The product
KodeCapturecreates a higher-fidelity evidence workspace that technical teams can replay, inspect, and use as a foundation for downstream work.
Preserve the pages, routes, and interaction paths that define the application’s observable behavior.
Record the application shell, downloaded assets, and browser-visible surface of the deployed build.
Preserve request activity, response evidence, and observed application behavior during capture.
Track browser-side state surfaces such as storage and other client-visible persistence layers.
Organize the evidence into a structured workspace for later replay, recovery, analysis, or verification.
Give engineers and AI agents something stronger than memory, screenshots, or blind guessing.
How it works
Capture comes first so preservation, recovery, and future changes can begin from observed evidence instead of reconstructed memory.
Start from the live application you need to preserve—the browser-delivered software that still exists in the wild.
Record routes, assets, requests, storage, retained flows, and runtime evidence exposed through the browser.
Keep the result as structured evidence rather than a disconnected folder of downloaded files.
Support preservation, analysis, recovery, audit, migration planning, or AI-assisted engineering.
Where KodeCapture fits
Preserve a deployed frontend before beginning recovery or modernization work.
Capture a behavioral baseline before agents modify unfamiliar or poorly understood software.
Archive observable web-product behavior before it changes, disappears, or loses maintainers.
Preserve the frontend surface of a target application before deeper technical analysis.
Keep a durable record of what an application exposed, loaded, stored, and called.
Use KodeCapture as the intake layer before deeper source-recovery work.
Part of the Kalu Kode stack
KodeCaptureis useful as a standalone preservation product and as the intake layer for software recovery and verified change.
Preserves what exists as a replayable evidence workspace.
You are hereTurns captured software into maintainable source.
Visit KodeBack 03 · VerifyHelps AI agents change software without losing behavioral truth.
Visit KodeProofHonest scope
Delivered files, assets, routes, retained flows, observed requests, storage surfaces, and runtime evidence gathered through the browser-visible application.
KodeCapturedoes not claim to capture private backend source code, instantly create maintainable source by itself, or reproduce every possible environment with no limitations.
Common questions
No. It is a deployed software capture and replay product for preserving the observable frontend truth of an application.
No. KodeCapture is meant for situations where the deployed application is the main truth you still have.
No. It captures what the frontend exposes and uses; it does not claim to recover private backend source.
KodeCapture is currently in early-access and design-partner mode.
KodeCapture Journal
Explore capture authority, interaction policy, network evidence, sealed bytes, route coverage, and offline replay.
A useful software capture records which bytes, routes, requests, states, and policies produced the evidence—and which parts of the application remained unseen.
Exploration needs budgets, risk policy, structural state measurement, and a terminal disposition for every candidate action.
Fetch, XHR, GraphQL, and WebSocket evidence have different matching, ordering, and authority requirements. Recording bodies alone is not enough.
The Kalu Kode product family
Four distinct products share one evidence-first philosophy and remain independently useful.
Preserves the observable truth of deployed software as replayable evidence.
You are hereRecovers maintainable source from software that still runs.
Selected assessmentsRememberPreserves why the code became what it is and delivers that context where change begins.
Archive foundation · context in developmentControlControls what AI-authored changes reach the repository.
Private alphaEarly access
If you are dealing with lost source, a legacy frontend, a risky migration, or AI-assisted engineering on software you do not fully trust yet, KodeCapture gives you a stronger starting point.