UI-First Portal • No Terminal Required

Your Opinionated AI Product Engineer. From Feature Request to Pull Request.

HeyHi takes feature plans, breaks them down into task specs, documents them directly into Jira, and assigns them to the HeyHi Bot. The bot handles execution in isolated sandboxes, opens Pull Requests, and auto-resolves comments in reviews.

Automating the Full Feature Lifecycle

HeyHi coordinates planning, project tracking, coding, and review response seamlessly.

Stage 1: Spec Intake

Input Requirements, Generate Complete Plans

Feed raw specs, architecture documents, or plain text proposals into the HeyHi Portal. The Spec Agent analyzes the instructions, queries context models, and builds a comprehensive step-by-step implementation plan.

  • Auto-resolves implicit dependencies
  • Generates visual check-lists and specifications
  • Reviews changes against your repository patterns
spec_planner_run.json
{
  "specs_ingested": "docs/rfc/auth_jwt.md",
  "status": "PLANNING_STABLE",
  "proposed_changes": [
    {"file": "internal/auth/jwt.go", "action": "CREATE"},
    {"file": "internal/auth/jwt_test.go", "action": "CREATE"},
    {"file": "internal/dispatcher/worker.go", "action": "MODIFY"}
  ]
}
Stage 2: Issue Sync

Turn Plans into Properly-Scoped Jira Issues

HeyHi connects directly to your Jira Cloud workspace. Once you approve the high-level implementation plan in the portal, HeyHi creates epics, stories, and developer-sized subtasks with details and estimation mappings.

  • Structured Atlassian Document Format (ADF) output
  • Auto-linking of dependent task sequences
  • Syncs with Jira board statuses in real-time
Jira API Payload (ADF)
{
  "issueType": "Story",
  "summary": "Link HeyHi Bot execution loops",
  "description": {
    "type": "doc", "version": 1,
    "content": [
      {"type": "paragraph", "text": "Task roadmap synchronized."}
    ]
  }
}
Stage 3: Coding Bot

Assign Tasks directly to the HeyHi Bot

Simply set the assignee of a Jira ticket to the **HeyHi Bot**. The system detects the assignment, provisions a secure sandboxed runtime, pulls the repository branch, and initiates its self-healing code generation process.

  • Secure sandboxes prevent environmental pollution
  • Self-healing loops test, analyze errors, and rewrite code
  • Streams live execution logs to the HeyHi Dashboard
Coding Loop Logs
[CodingAgent] Undefined package: jwt/v5
[CodingAgent] Run: go get github.com/golang-jwt/jwt/v5
[CodingAgent] Re-running compiler validations...
[CodingAgent] Success: Compilation clean. All tests passed!
Stage 4: Code Delivery

Pristine Pull Requests with Verification Proofs

When code compilation and unit tests pass locally, the Collaboration Agent commits changes, pushes the branch to your Git origin, and opens a Pull Request on GitHub, attaching a complete run spec and validation log.

  • Comprehensive description summarizing files changed
  • Links the ticket directly back to Jira Cloud
  • Verifies CI status checks pass cleanly
GitHub PR Webhook Ingest
{
  "action": "opened",
  "pull_request": {
    "number": 143,
    "title": "Feat: JWT Token Authentication",
    "head": {"ref": "feature/auth-jwt"}
  }
}
Stage 5: Thread Resolution

Interpreting Comments and Auto-fixing PRs

Your developers review the code like normal. If they write a review comment pointing out a bug or requesting a test (e.g. "please check token longevity"), the Collaboration Bot gets notified, responds with a 👀 reaction, writes a patch, tests it, and pushes the fix, resolving the comment automatically.

  • Acts on human comments inside PR reviews
  • Ensures code revisions pass CI checks before push
  • Auto-resolves the conversation thread on success
GitHub PR Thread Resolve
[CollabAgent] Human comment: "Add token longevity test"
[CollabAgent] Spawned coding agent.
[CodingAgent] Appended TestTokenLongevity inside jwt_test.go
[CollabAgent] Pushed fix to feature/auth-jwt
[CollabAgent] Comment: "Implemented longevity test in 3a5f1e."
[CollabAgent] Thread marked as RESOLVED.

The HeyHi Execution Pipeline

Watch the step-by-step progress tracking that powers our control plane.

1
Intake
2
Discovery
3
Context
4
Planning
5
Decompose
6
Classify
7
Jira Push
01

Requirement Intake

The Intake phase ingests feature specifications, mockups, or issue tickets. HeyHi structures the target specifications, validates formatting, and scopes initial boundaries.

Parses raw specifications from markdown RFCs
Maps requirements to file system targets

Designed for Engineering Teams

HeyHi is built from the ground up for collaborative, visual, and safe software operations.

Visual Portal Interface

Manage feature execution without looking at a terminal. The HeyHi Portal lets you monitor runs, review step progress, and inspect final PR plans in a beautiful web console.

Active Runs 4 Online

Clarifying QA Dialogues

HeyHi won't guess about specifications. During the Discovery stage, the AI asks focused clarifying questions, gathering decisions before code generation begins.

Multi-Repo Operations

Coordinate tasks across repositories. HeyHi implements changes in backend services, updates frontend APIs, and updates Terraform infra files simultaneously.

Self-Healing Coding Loops

Our Coding Agent runs local builds and unit tests in secure sandboxes. When compilation errors occur or tests fail, it parses the compiler logs to diagnose and refine code until it passes clean.

Code.go Passed
Running compiler Testing

Enterprise Security

Deploy with peace of mind. All connected LLM credentials, Atlassian integrations, and GitHub tokens are encrypted at rest using AWS KMS keys. HeyHi never keeps raw tokens.

HeyHi Portal vs. Terminal-Based AI Tools

Why visual, structured control planes outperform CLI block boxes.

Capability HeyHi Portal CLI Agents (e.g. Terminal Devin)
Visual Dashboard Interface
Complete interactive UI
Terminal-only / Text logs
Direct Jira Board Sync
Automatic (Jira Forge App)
None (manual ticket creation)
Interactive QA Stage
Yes, clarifies before writing code
No, writes code on assumptions
PR Review Comment Resolution
Yes, auto-responds and pushes fixes
Requires manually restarting scripts
Execution Security
Isolated Sandboxes & AWS KMS
Sandboxes / plaintext configs

Flexible Pricing for Scaling Teams

Start organizing and automating your feature pipelines today.

Developer
$0 / month

For individual developers looking to automate their specs and plans.

  • Up to 3 active repositories
  • Visual Plan & Spec Builder
  • Jira Ticket Breakdown Sync
  • Community Support
Get Started
Enterprise
Custom

For larger organisations requiring self-hosting, custom KMS keys and SLA guarantees.

  • Self-hosted Go control plane
  • Dedicated AWS KMS key scopes
  • Custom LLM provider routing
  • SLA-backed Dedicated Support
Deploy System

Automate Spec-to-PR Deliveries

Establish your multi-agent control plane in less than 5 minutes. Secure connection to GitHub and Jira with KMS encryption built-in.

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