Pragma Contact

the governed AI co-worker for software delivery

Many tools can take a story to completion; Pragma works with your team the way a colleague does, carrying it from your project tool to a reviewed pull request with every decision recorded.

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A day in the life of Pragma on your team

  1. Pragma knows your business.

    Before the first story, Pragma builds a map of your business capabilities and the code behind them, and confirms that understanding with you. Every story is read against that picture, not in isolation.

  2. A story is assigned.

    Someone adds the Pragma label to a story in Jira or GitHub Issues. Pragma picks it up the way an assigned engineer would.

  3. Pragma reviews it.

    Pragma reads the story and the acceptance criteria, checks them against its understanding of your business and your codebase, and drafts a technical approach. Gaps, risks and conflicts become questions, not assumptions.

  4. Pragma clarifies with your product owner.

    In the story's Slack or Microsoft Teams thread, Pragma asks what is unclear. It works through the answers, a little back and forth, until the story is understood.

  5. Pragma confirms the approach with your developer.

    With the clarifications in hand, Pragma refines the technical approach. It talks it through with the assigned developer in the same messaging tool until the developer confirms it.

  6. Pragma does the work, and asks for help when stuck.

    Pragma implements in its own isolated workspace. When it hits a problem it cannot resolve, it reaches out to the developer in the channel, the way a teammate would, then carries on.

  7. Pragma opens the pull request and tells the team.

    Pragma verifies the change, opens the pull request, and notifies the developer and the team in the channel. Review comments, change requests and CI failures come back to it until the merge.

Pragma's day-to-day delivery flow Project management, communications, and source control connect to seven steps from confirming business understanding through working the review to merge. TEAM TOOLS DELIVERY FLOW PROJECT MANAGEMENT The story starts here, with the Pragma label. Jira, GitHub Issues COMMUNICATIONS Product owner: clarifying the story Developer: approach, help, review Slack, Microsoft Teams SOURCE CONTROL The change lands as a pull request your engineers review. GitHub, Bitbucket Confirm business understanding Read the story and acceptance criteria Clarify with the product owner Confirm the approach with the developer Implement; ask for help when stuck Verify and open the pull request Work the review to merge story + label questions answers approach confirmation help request guidance team notified pull request review comments, CI results replies, updated branch
  1. Confirm business understanding
  2. Read the story and acceptance criteria
  3. Clarify with the product owner
  4. Confirm the approach with the developer
  5. Implement; ask for help when stuck
  6. Verify and open the pull request
  7. Work the review to merge
Story-to-pull-request loop

Where your people stay in control

Set the collaboration dial for each team.

Full.

Pragma talks everything through with your team.

Notify only.

Pragma reports as it goes and asks only when blocked.

Autonomous.

Pragma proceeds and records its concerns.

Approval gates pause work when complexity, story size, or estimated AI cost crosses the limit your team sets.

Any authorized teammate can take over a dialogue.

Every change is a pull request your engineers review.

Dialogues, decisions, AI usage and cost are on record.

Built to be trusted with your code

On the managed path, each job runs as its own short-lived container with its own workspace, discarded when the job ends.

Repository and tool credentials are stored per company and encrypted with a company data key; a job receives identifiers, not secrets.

Each customer's data is separated by company, enforced in the database with row-level security policies.

Significant workflow actions are written to a durable audit trail.

What your business gets

Fully collaborative, not just automated

Pragma asks, proposes, listens and agrees before it acts, like a colleague, not a script.

The bigger picture, every time

Its business map means questions and decisions are made in context.

Scope agreed before code is written

Your product owner clarifies the story, then Pragma and your developer agree the technical approach before implementation begins.

Review stays with your engineers

Every change arrives as a pull request for your engineers to review. They keep the merge decision.

Works in the tools you already run

Jira, GitHub Issues, GitHub, Bitbucket, Slack and Microsoft Teams.

Every question, decision and cost on record

Dialogues, decisions, AI usage and cost stay attached to the work.

Built for teams ready to accelerate with AI, without giving up control

Enterprises, software agencies and product teams that want the speed of AI-driven delivery and none of the blind spots: every question asked before code is written, every change reviewed by your engineers, every decision on record.

If your backlog is bigger than your team, Pragma is the colleague that takes the next story, works it with your people, and hands back a pull request you can trust.

A founding-partner pilot is running now. Talk to us about joining it.

Contact

hello@getpragma.io

Pragma - founded 2026