The Comprehensive
Layer of Code
Maps every function,
dependency, and call chain
in your codebase in seconds.
no credit card required · free to start
100+ BETA TESTERS HAVE SIGNED UP BECAUSE THEY LIKED THE IDEA. HEAR ABOUT OUR MISSION →
Works with your favorite tools
Your map of the depths.
Summaries tailored per role.
PMs get feature impact. Architects get dependency graphs. Security gets risk surfaces. Everyone gets what they need.
We asked 120 developers
about reading unfamiliar code.
Across continents and stacks, the same questions kept surfacing — “What does this do?”, “Who owns it?”, “Is it safe to change?”
The whole chart,
not just the coast.
Anchoria maps your entire codebase — every function, module, and cross-service dependency — the way a nautical chart maps the ocean floor. Not just the surface.
Built for everyone
who touches code.
What did the last sprint actually build?
Anchoria gives PMs a plain-language map of every feature added, changed, or removed — without needing to read a single line of code.
- →Plain-language changelog from every commit
- →Feature impact across services
- →Risk flags before release day
- →Cross-team dependency visibility
$ anchoria summarize --role pm --since last-sprint
SPRINT SUMMARY — for Product
─────────────────────────────
✓ checkout flow refactored (3 services)
✓ auth token expiry increased to 7d
⚠ new payment retry logic — 2 edge cases
flagged in payments/processor.ts:L88
Impact: Low risk · 1 open questionYour codebase should be clear to everyvibe coder, not just engineers.
Wind in
Anchoria’s sails.
“In my work I manage products that are deeply technical — my customers are developers. But when I’m talking to the business side, non-tech stakeholders like marketing, compliance, or customer success, what works is being able to visualize the code and help them understand the outcome.”
“I vibecoded for the first time at the SheBuilds event. It was nice to see my ideas come to life, but as a CS student I wanted to understand the code and how it came together. Lovable didn’t give me that.”
“The hardest part is that vibe coding works really well — until it doesn’t. When it breaks, you have no idea where. I had a bug where the wrong number was showing on every report, and I spent two hours figuring out what to ask Lovable to fix. Fixing it was one prompt — finding it was the real struggle.”
“I’ve had moments where I thought something was working a certain way, and later realized the agent had implemented it differently than I expected. It’s a bit unsettling how it still ‘works’ though.”
“At a certain point the project becomes too complex to understand, and the cost to fix things gets quite high — particularly when several attempts are needed. The cognitive debt and token consumption add up fast.”
“There were moments where I felt a bit lost with what the AI-generated code was actually doing. I realized pretty quickly that just accepting the code isn’t enough — you still need to understand the logic behind it.”
[ Pre-launch · Early Access ]
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[ Early Access ]