Spec-driven data development, without the AI slop.
Go from business requirements to production pipelines with any AI agent. It builds with your standards and context, and your team reviews every pipeline before it ships.
Finance needs daily net revenue by region, excluding refunds, for the board dashboard.
and project delivery
resolution
compute reclaimed
Coding pipelines got fast. Trusting them didn’t.
Agents write pipelines in minutes. But three agents mean three versions of every pipeline, and a team that spends more time maintaining than building.
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Inconsistencies at scaleEvery agent picks its own naming, keys, and materialization. Nobody knows which version is right.
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One question, conflicting answersAgents spin up duplicate tables, each with its own rules. Answers conflict, and trust erodes.
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Changes you can’t understandAgents write thousands of lines at once. When something breaks, finding the cause takes longer than the build.
TerminalFable
Instructions: current
- src_customers
- stg_customers
- int_customers
- dim_customers
- Naming
- stg_customers
- Tests
- 2 tests
CoCo (Cortex Code)Opus
Instructions: 2 commits behind
- ORDERS_RAW
- ORDERS_STAGING
- ORDERS_WORK
- ORDERS_DIMENSION
- Naming
- CUSTOMERS_STAGING
- Tests
- none
ClaudeSonnet
Local changes · not committed
- SrcProducts
- StgProducts
- IntProducts
- DimProducts
- Naming
- StgCustomers
- Tests
- 6 tests
- 44Tables
- 67Dependencies
- 9Engineers
- 3Standards
- 30Failing
Three pipelines. Three agents. Three standards.
One workflow from requirement to production
Every engineer and every agent builds on one shared metadata layer, with the same definitions, standards, and lineage.
Define
Business context becomes a spec, with metrics and policies attached. Governed definitions, owners, and lineage give the agent context instead of assumptions.
Coalesce CatalogBuild
Agents work through Coalesce MCPs, the CLI, or Coalesce Desktop. Coalesce platform skills teach them your standards and best practices, while Node Types give every object the same structure.
Coalesce TransformGovern
A central policy layer checks every change for tests, PII masking, ownership, and documentation in the local CLI loop, whether a person or an agent wrote it. Then your team reviews it as a graph, not a diff, and approves.
Coalesce TransformObserve
Tests and monitors use the same definitions as the pipeline. When something fails, Scout triages it and routes it to the owner with the evidence attached.
Coalesce QualityEasier to review.
Built by an agent. Backed by you, with confidence.
Apps. The next big step
for every team on Coalesce.
Turn your team’s process into a tool, right on top of your governed project. Apps give engineers and team leads purpose-built screens with your rules built in, so work moves faster without another tool to buy, secure, or keep in sync.
Views
Give data engineers and team leads a view built for the work in front of them, not a chat box or a wall of code.
Logic
Build your team’s process into the app, from generating Data Vault hubs and links to mapping legacy columns, so the work runs the same way every time.
Rules
Set the checks every change must pass, from gates to approvals, and exactly where an engineer steps in before it ships.
No exports. No copies.
No second source of truth.
Every app reads and writes the same nodes, columns, lineage, and branches your pipelines use. What your team approves in an app is exactly what ships.
Install one from the marketplace.
Or build your own.
Start with one of our approved apps, or have your agent build one against the Coalesce app spec. Coalesce opens it in a tab, right where you build.
Read the Coalesce app spec. Then build an app that reviews legacy-to-new column mappings and flags anything that needs a decision.
Start with a proven build process.
Building agent workflows yourself takes months of standards, tests, approvals, and audit trails. Our spec-to-pipeline template ships with all of it on day one.
Standards and visibility, built in.
Session: finance net revenue
Template: spec-to-pipeline · branch feature/finance-net-revenue
Clear the legacy backlog,
or ship what the business asks for next.
Retire legacy pipelines in weeks, not quarters.
Point your agent at legacy SQL, ETL jobs, and stored procedures. Coalesce rebuilds them as standard, documented pipelines and proves parity before you cut over.
- Every pipeline rebuilt to one standard
- Parity proven, column by column
- Migration mapping app for column-by-column review
Ship yesterday’s request today.
Hand your agent the requirement. It builds against your standards and governed definitions, so your team reviews a finished pipeline instead of writing one from scratch.
- Your standards on every object
- Nothing ships without approval
- Any agent, any supported data platform
The proof is in production
“Coalesce’s streamlined development makes iteration cycles much faster. It’s easy to troubleshoot, apply changes and refactor models.”
“It’s just the sheer performance of Coalesce. Our nightly batch processes are 75% faster. We also now have everything in Git, giving us version control and branching.”
“During development, with each manual action, we kept asking ourselves, ‘Can this be automated?’ That resulted in nine custom VodafoneZiggo templates aimed entirely at speeding up development.”
“Being able to explore dependencies and understand changes in real time while developing—that was my ‘aha’ moment.”
