Different AI Coding Agents.
Same Workflow
Helper AI
What is Helper HAI?
If you put five developers on five different AI coding tools, chances are you’ll get five different results from the same ticket.
Each team member uses a different set of prompts and has developed different habits while using a given AI agent. One person will paste the requirements into a chat window by hand. Another might neglect the acceptance criteria specified in a Confluence page.
AI is certainly capable of writing something plausible, but it’s often forced to guess the context that was one tab away the whole time.
Importance of Shared Context
The Start
The hard part of adopting AI by an engineering team is making sure that model actually understands the work, regardless of how great it is.
The Problem
Every developer ultimately ends up building their own prompts, their own conventions and shortcuts, and their own way of copying a ticket into a chat window.
The problem with this is inconsistent output and no reliable way to know why one developer’s AI-assisted work looks different from another’s.
Our Solution
HAI brings these pieces together. It establishes a common ai coding workflow while allowing developers to keep their preferred tools.
It favors consistency over convenience: everyone needs to agree to a single way of working up front.
The Result
The benefits are stronger: the whole team gets the same context, the same tooling, and far fewer inconsistent results to untangle later.
HAI’s Features
HAI is designed to make AI-assisted development more consistent without adding another platform to your stack. It adapts to your project, brings requirements into the AI's working context, and coordinates the steps from ticket to implementation.
Who is this for?
HAI is built for engineering teams that want to make AI-assisted development a consistent team practice rather than a collection of individual experiments. It's an Open source CLI that works with existing tools and processes, helping teams standardize how AI is configured, how it receives context, and how it approaches implementation.
Leaders Standardizing How Their Team Uses AI
Give developers the freedom to choose their preferred AI coding tools while establishing a shared workflow underneath.
HAI standardizes prompts, agent roles, and configuration so teams can reduce inconsistencies without mandating a single editor or assistant.
Teams Working off Jira & Confluence
Connect the requirements in Jira with the specifications and supporting information in Confluence.
HAI brings tickets, linked issues, comments, and attachments into a locally accessible format, helping AI assistants work from the actual requirements rather than incomplete summaries copied by hand.
Engineering Managers Who Are Tired of “Tribal” Knowledge
Reduce dependence on individual developers' prompts, undocumented shortcuts, and personal AI configurations.
HAI makes the team's approach more repeatable, so shared conventions and specialized agent roles become part of the workflow rather than knowledge held by a few individuals.
Organizations that Don’t Want Another Platform
Adopt a more structured ai coding assistant workflow without introducing another dashboard, database, or proprietary service layer.
HAI runs locally and can work with Jira and Confluence, local files, or no ticket integration at all. Project context stays on the user's machine, with locally retrieved data excluded from Git by default.
A Consistent AI Workflow
Give your team a shared way to work with AI coding agents. HAI gathers project context, coordinates specialized agents, and standardizes the process from ticket to implementation - while letting developers keep their preferred tools.
npm install -g @2amtech/hai
hai initYou got questions?
We’ve got answers.
What is Helper AI (HAI)?
Helper AI (HAI) is a free, open-source CLI that gives development teams a shared workflow for working with AI coding agents. It provides consistent context and tooling while allowing developers to keep their preferred AI coding tools, reducing differences caused by individual prompts, conventions, and working habits.
How does HAI provide AI coding agents with project context?
HAI pulls Jira issues and Confluence pages into readable text files, including comments, links, and structure. When a ticket references other tickets, HAI pulls those in as well. It also fetches ticket attachments and screenshots using the appropriate credentials, making this information available locally to the AI
How does HAI standardize AI-assisted development across a team?
HAI adapts to a project's structure and code, tailoring its prompts and agents instead of relying on generic text. It configures itself inside the team's chosen AI coding agent and provides a shared workflow. Developers can keep their tool preferences while following the same underlying process and configuration.
What can HAI automate from a Jira ticket?
After setup, a developer can give HAI a Jira ticket number. HAI pulls the relevant context, researches the codebase, drafts a plan, and, after approval, implements the change. Its specialized roles handle research, planning, backend and frontend development, refactoring, and security and correctness reviews in parallel.
Does HAI require a separate platform or database?
No. HAI does not introduce a new dashboard, database, or proprietary service layer. Teams can use Jira and Confluence, local files, or skip ticket integration entirely. HAI is free and licensed under Apache 2.0, while data pulled from external sources remains locally on the user's machine.
