Example activity: one team’s stories moving through the Harness
Scenarios signed off by QA
2s ago
Build context approved by developer
6s ago
Every automated test passed
11s ago
Security review passed, no secrets found
18s ago
Pull request approved, 7 guardrails green
24s ago
Merge started the deployment
31s ago
Traceability report added to proof pack
4s ago
Decision log saved for the next engineer
9s ago
Database review looped back to build
15s ago
Release approved by product owner
21s ago
Model upgrade rolled out to agents
27s ago
Session and reports stored in the repo
35s ago
7
Pipeline guardrails before merge
02 — What is the Harness?
The Harness
turns
backlog stories
into
tested
releases
-
moving
every
story
through
agreed
scenarios,
agent builds,
and
human approvals,
so
the
proof
your
auditors
ask
for
is
already
in
your
repo.
Your repos and backlog
06 connected
GitHub
GitLab
Bitbucket
Jira
Linear
Confluence
Harness core
Anthropic
OpenAI
Gemini
Google Cloud
Azure
Teams
Approved models and cloud
no lock-in
Included
Keeping it current. Building in house: 0.5 to 1.0 FTE, forever

Approved models, no lock-in
Move to better models as they ship. Upgrades reach your installation within 30 days.

Shared memory for every agent
Sessions, decisions and reports are saved in your code base.

A proof pack for every story
Test plan, traceability, review records and decision logs, saved as you go.

Installed in your repos
Rules, guardrails, skills and scripts inside your existing pipelines.
Named sign-offs on every story
4
Analyst · Tech lead · Quality lead · You
Data protection
Sensitive data masked before AI sees it
Human approval
Release blocked until a person signs off
Access control
Each agent reaches only what it needs
Audit trail
Every action logged for auditors
Threat detection
Blocks prompt attacks and data leaks
Essential Eight + ISO 27001
Initial essentials included from day one