Your Codebase Has a Story. See the Whole Picture.
Colasta turns complex codebases into evidence-backed maps of structure, architecture, dependencies, data flows and change impact — with runtime insight when you connect authorised telemetry.
A diagram of a demo application: a central app node connects to services, files, functions, an API and a database. Selecting any node highlights its direct connections. A "simulate a change" control draws verified links as solid lines and potential impact as dashed lines.
Explore your software, from code to impact.
Software Complexity Shouldn't Be a Black Box.
Illustrative demo
Lost in a large codebase
Finding entry points, functions, modules and the real structure takes time.
Architecture hidden in the code
Dependencies, APIs, data stores and data flows are hard to see from files alone.
Unclear behaviour
Understanding one function, route or class means tracing inputs, branches, calls, outputs and side effects.
Fear of changing code
A small change can affect callers, tests, configuration or other components.
Source alone doesn't explain production
Runtime faults need authorised telemetry correlated with the right code and build.
Fragmented knowledge
Teams piece together information instead of seeing one connected, evidence-backed view.
Colasta connects the pieces, so your team can understand the system before making the next move.
Meet Your Software's Living Map.
Colasta analyses authorised source code and presents its structure and relationships as navigable, evidence-backed maps.
- Disconnected files
- Scattered diagrams
- Manual dependency tracing
- Uncertain change impact
Findings are based on source evidence. Runtime findings require customer-approved telemetry. Unknown and unsupported constructs are shown, not hidden.
The Five Levels of Software Understanding.
Select a level to see it demonstrated on the same demo application, from code to runtime.
What is in my codebase?
A source-code galaxy where files unfold into connected symbols.
- Files and folders
- Languages and frameworks
- Functions, classes and symbols
- Imports and entry points
- Symbol lookup
Find your way around unfamiliar code faster.
The Interface Tells the Story.
Navigate by symbol, not just by file.
A file tree with symbol navigation across ShopFlow's auth, orders, payments and inventory modules.
- auth/
- login.ts
- orders/
- checkout.ts
- calculateTotal()
- payments/
- gateway.ts
Less Time Decoding. More Time Building.
Understand unfamiliar systems
Get your bearings in a new codebase in minutes, not days.
Make architecture visible
See how modules, services and data stores actually relate.
Investigate code precisely
Trace one function's inputs, branches and side effects without losing context.
Review changes with context
See affected callers, tests and configuration before you merge.
Connect runtime evidence
Link observed behaviour back to the code involved, with your consent.
Preserve engineering context
Keep one evidence-backed view instead of scattered tribal knowledge.
Who Is Colasta For?
Select a role to see what each one cares about on the same software map.
Exploring unfamiliar projects and finding the right entry points.
Illustrative demo
How It Works
- Step 1
Connect
Authorise a GitHub, GitLab, Azure DevOps or Bitbucket repository, or use local analysis with the Colasta CLI.
- Step 2
Analyse
Colasta builds code structure and relationships using its language adapters.
- Step 3
Explore
Navigate the five levels, inspect evidence and follow connections.
- Step 4
Review
Examine potential change impact and, when configured, authorised runtime evidence.
Cloud analysis
Authorised source is processed in Colasta's own infrastructure.
Local CLI
Analysis runs on your machine and source never leaves it. Results are uploaded only with your explicit consent.
Languages at launch
- Python
- JavaScript / TypeScript
- Java
- Dart / Flutter
Other languages are reported as partial or unsupported, honestly.
Trust, Privacy and Boundaries
No LLM-based code analysis
Colasta uses deterministic, evidence-backed analysis, not a language model reading your code.
No external code-analysis services
Your authorised source is processed within Colasta's own systems.
Repository access requires your authorisation
Nothing is analysed without you connecting and approving access first.
Tenant and workspace access controls
Access is scoped to your workspace and the people you add to it.
Evidence-linked results
Findings link back to source. Unknowns are disclosed, not hidden.
Runtime insight only from authorised telemetry
No runtime data is read without your consent and configuration.
Local CLI keeps source on your machine
With the CLI, analysis runs locally; results upload only if you choose to.
Cloud source retention
Planned 30 days, then automatic purge.
Frequently Asked Questions
Does Colasta use AI or LLMs?
No. Colasta uses deterministic, evidence-backed analysis, not a language model reading or generating your code.
Which languages are supported at launch?
Python, JavaScript/TypeScript, Java and Dart/Flutter. Other languages are reported as partial or unsupported, honestly.
Does my code leave my machine with the CLI?
No. Local CLI analysis runs on your machine, and results are uploaded only with your explicit consent.
How long is cloud source kept?
Planned 30 days, then automatic purge, for cloud analysis.
What do I need for runtime insight?
Authorised, customer-approved OpenTelemetry, logs or traces connected to your environment.
When is Colasta available?
Coming soon. Join the waitlist to hear when it launches.
Who builds Colasta?
Triakor.
How do I contact the team?
Email support@triakor.com.
See Your Software in a Whole New Way.
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Your Codebase Has a Story.
Join the waitlist to see it when it's ready.
Join the WaitlistAll sample graphs, repositories and findings on this page are illustrative demo data.
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