ENGINEERING

AI for the work around the code.

Engineers already have AI in their editor and do not need another one. What is missing is everything around the code: the incident write-up, the design doc nobody started, the answer buried in a runbook, and the query somebody files a ticket to get.

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API keys: one key works for the REST API and the MCP server

WHERE MOST TEAMS ARE TODAY

Knowledge living in runbooks nobody can find at 2am
Incident write-ups delayed because nobody wants to assemble the timeline
Every team using different AI tooling with no shared governance

What people actually do with it

Six things engineering teams use this for.

Not an exhaustive list. These are the ones that come up first, and the ones that make the case for the rollout on their own.

Answers from your docs

Ask questions across runbooks, design docs and wiki exports in a knowledge base, with the answer citing the file it came from.

Ask your database

Query PostgreSQL, MySQL, MariaDB or SQL Server in plain language, read-only, with the SQL visible in the tool actions.

Incident timelines

Attach logs, tickets and the chat export and get a first-draft post-mortem while the details are still fresh.

Design docs and RFCs

Get past the blank page from a rough brief, then refine it with shared prompts that carry your template.

MCP and your own tools

Give agents and workflows your remote MCP servers as tools, under the same controls as everything else.

REST API and MCP server

Call StickyPrompts from your own code or your own agent. One API key works for both.

IN THE PRODUCT

Straight to the data, read-only.

Point StickyPrompts at a read replica through an SSH bridge, keep it read-only, and let people ask their own questions instead of filing tickets for queries.

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Ask your database. Top customers by order value, straight from a read-only PostgreSQL connection.

WHAT MAKES IT WORTH ADDING

Every major model, so you are not tied to whichever one your editor ships with
Remote MCP servers as first-class tools for agents and workflows
SSH bridge to databases with no public endpoint
A REST API and an MCP server, with one key for both
Knowledge grounded in your own docs, with citations to check
The same governance as the rest of the company, not a separate exception

See the governance controls

Straight answers

What engineering teams ask us.

Does this replace our coding assistant?

No, and it is not trying to. Keep the editor assistant for writing code. This is for the work around it (documents, questions, incident write-ups, scheduled jobs) and for giving the rest of the company governed access to the same models.

Can we connect our own tools?

Yes. Remote MCP servers plug into agents and workflows, databases connect directly (including ones reachable only through an SSH jump host), and the REST API and MCP server let your own code call StickyPrompts.

Is our code used for training?

Switch on zero-data-retention only and the workspace uses only providers that keep nothing and train on nothing. If you would rather nothing left at all, open-weight models can run on infrastructure dedicated to you.

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Trial

A $5 balance to start. No card needed.

Built for engineering

Try it on your own work before you commit.

Start free with a $5 trial balance. No card, no procurement marathon - bring one real task and see how far it gets.

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