Ship software with autonomous AI coding agents
Inzint builds AI-agent coding assistants that move work through your software lifecycle on their own — reading a ticket, designing the approach, writing the code, opening a pull request, reviewing and merging it, generating tests, deploying to your integration environment, and keeping the docs current. You stay in control of the board; the agents do the busywork.
How the agents ship
AI Agent Capabilities
Comprehensive features that power intelligent, autonomous AI agents
Autonomous Planning
A planning agent turns a rough card into scoped, dependency-ordered tickets with clear acceptance criteria, so work is broken down before a line of code is written.
- Reads the codebase read-only to scope the work
- Splits features into small, independent tickets
- Writes acceptance criteria and the exact gate per ticket
- Orders tickets by dependency
Code Generation & Pull Requests
A develop agent implements one module per ticket against the design, adds tests, runs the gate green, and opens a pull request into your integration branch — it never merges on its own.
- Branches off your integration branch
- Implements exactly one module per pull request
- Adds or extends tests with the change
- Opens a reviewable PR — never a silent merge
Automated Review & Merge
A review agent judges each pull request against the ticket criteria and design, checks diff quality and a green gate, then squash-merges or bounces it back with actionable notes.
- Reviews the diff against acceptance criteria
- Confirms CI and the DO-NOT-TOUCH guard are green
- Squash-merges into the integration branch
- Sends weak PRs back with rework notes
Test Generation & QA
A test agent runs the full suite against the acceptance criteria after merge, strengthens coverage where it is thin, and records a pass or fail — failures route the ticket straight back to development.
- Runs unit, integration, and e2e suites
- Adds tests where coverage is thin
- Signs off with an explicit pass or fail
- Routes failures back to the develop stage
CI & Deployment
A devops agent ships each tested change to your integration environment, keeps the CI workflow and infra config healthy, and confirms a passing health check before marking the ticket deployed.
- Deploys tested changes to the dev environment
- Owns the CI workflow and infra config
- Applies migrations and config safely
- Verifies a passing health check
Docs Upkeep
A docs agent maintains the shared knowledge base — surveying architecture, modules, and data models on first run, then auditing that the docs still match reality as the code changes.
- Bootstraps a docs knowledge base from the codebase
- Keeps module and architecture docs current
- Audits docs against the real code
- Serves as the source every other agent reads first
How the agents work
Every ticket moves through the same autonomous lifecycle — from the first plan to the docs that close it out.
Plan
The planning agent researches the codebase and turns a rough request into scoped, dependency-ordered tickets with acceptance criteria on the board.
Design
A design agent decides the technical approach for each ticket — interfaces, data model, files to touch, edge cases, and test strategy — before any code is written.
Develop
A develop agent implements one module against the design, adds tests, runs the gate green, and opens a pull request into the integration branch.
Review
A review agent judges the pull request against the ticket and design, confirms a green gate, then squash-merges it or sends it back with notes.
Test
A test agent runs the full suite against the acceptance criteria, strengthens thin coverage, and records a pass or fail on the ticket.
DevOps
A devops agent deploys the tested change to the integration environment and confirms CI, the build artifact, and a health check are all green.
Docs
A docs agent audits and updates the knowledge base so the documentation stays in step with the shipped change, closing out the ticket lifecycle.
Frequently asked questions
How our AI-agent coding assistants fit into your repo, board, and delivery pipeline