Before changing an API, you need more than the endpoint name.
With UIGraph, bring in OpenAPI, GraphQL, or gRPC definitions and review request shapes, responses, samples, versions, and release differences in one place.
Know how it behaves before you change it.
#API#APIDesign #OpenAPI #GraphQL #gRPC #DevTools
A service is more than the code behind it.
To understand one, teams need context around ownership, dependencies, APIs, data, and where it fits in the system.
UIGraph brings that together around the service itself.
#Microservices#SoftwareArchitecture#PlatformEngineering #DevTools #ServiceCatalog
NoSQL gives teams flexibility, but the data model can be harder to understand at a glance.
UIGraph visualizes collection based models and DynamoDB structures, and can sync MongoDB and DynamoDB schemas from your repo.
Make your NoSQL data easier to understand with UIGraph: https://t.co/S205ZI43Z2
#NoSQL #DynamoDB #MongoDB #DataModeling #DevTools
We built https://t.co/1zvzmbmRAz for this exact use case. Our skill can create diagrams and then sync to UIGraph. You can sync via cli and use it in CICD. All diagrams are versioned. We support flow, sequence and C4 diagrams. We have tons of other features. Happy to help you onboard.
Start better at visualizing all the flows and understanding the whole system. AI writes lot of code for you and but it can’t explain how a simple checkout flow works end to end as this implementation spreads across multiple domains and teams. You can build various artifacts with UIGraph and create a connected context and that you can visually see.
@arvidkahl Other important thing to maintain is various artifacts - diagrams to better explain all the flows and keeping them up to date, along with specs, schemas, docs, etc. Our UIGraph skill will help maintain the whole repo by generating those artifacts and keeping them up to date.
UIGraph turns SQL schemas into diagrams you can actually explore.
Sync from SQL files, upload a schema, or build tables manually. You can also attach the diagram to its service so teams can quickly see which tables belong to it.
Try UIGraph at https://t.co/S205ZI4BOA
#SQL #DataModeling #DevTools #SoftwareArchitecture
Some flows are easier to understand when you see how different parts of the system interact.
Sequence diagrams in UIGraph let you trace step by step calls across services, APIs, and boundaries, making them easier to review and debug.
Trace your first flow at https://t.co/S205ZI4BOA
#SystemDesign #DevTools #SoftwareArchitecture #SequenceDiagram
@alex_verem We have something similar for diagrams but we also generate various artifacts including diagrams, api specs, schemas and others, so they can be better versioned and easy to sync via CICD. Do checkout https://t.co/wnYNsxo0UF
@sohmehta Building https://t.co/LrSkmlu4X2, connects UI flows, APIs, services, and architecture diagrams into a unified context graph so engineering teams can navigate from what users see to how it's actually built. https://t.co/qlwEMBrDAD
Nobody updates the C4 diagrams. So we made them draw themselves. UiGraph generates C4 architecture diagrams straight from your repo and re-syncs them on every deploy. Living architecture docs, zero maintenance.
How do YC startups onboard new customers so quickly?
So many startups seem to build an impressive list of customer logos early on. Curious what strategies they use to land those first customers and move from 0 → 10 so fast.
We’re live on Product Hunt today 🚀
UIGraph brings engineering context into one navigable view for engineers and AI agents.
Would love for you to check it out and share your feedback.
Link in the comments 👇
We just launched UIGraph on Product Hunt 🚀
UIGraph brings your engineering context into one connected view so engineers and AI agents can understand how a system fits together without piecing it together from scratch.
Would love for you to check it out and share your feedback ❤️
Atlassian just validated our entire thesis.
Their CTO, Taroon Mandhana: "The biggest bottleneck in AI software engineering isn't model intelligence, it's organizational context."
The numbers behind it: 94% of engineering leaders use AI, but only 6% have the systems in place to scale it across the full SDLC.
So Atlassian launched a whole agentic-coordination layer for Jira and DX — workflows, governance, measurement for agents. All good things. But notice what they're selling: orchestration.
Here's the part they didn't build: the truth layer underneath.
Agents fail when they lack institutional knowledge. Atlassian says it themselves — "without context from architecture, roadmaps, and requirements, agents can produce functional code that still misses the mark."
Orchestration across a system nobody can see is just faster confusion. Agents still invent endpoints, miss owners, touch the wrong services. Coordinate them all you want — if there's no verified, living map of what the software actually is, you're governing guesswork.
We're building that layer: a CI-synced architecture map that humans read and agents query — so every agent acts on truth, not improvisation.
Ship the truth layer first. Orchestration second.