Task-Centered Development
Every session starts from a concrete task, with requirements, owner, status, and next action visible before code changes begin.
Human + AI workflow control
HumanThread
Structured workflows for human-AI software development.
Keep requirements, specs, agent context, code changes, quality checks, and delivery notes connected across every development task.
/dashboard
Current Task
Implement homepage routing
PRD linked
Specs loaded
Tests red
Agent ready
pnpm --filter @humanthread/web test
Phase: Plan - Execute - Check - Finish
Plan01
Capture the goal, constraints, PRD, and research context before implementation starts.
Execute02
Run code changes against the active task with the right package specs in scope.
Check03
Review behavior, lint, types, tests, and cross-layer consistency before shipping.
Finish04
Record decisions, sync documentation, commit cleanly, and leave a trace for the next session.
Product modules
Everything attached to the task, not scattered across tools.
Persistent Context
PRDs, research notes, specs, implementation traces, and journals stay attached to the work instead of disappearing in chat history.
Spec-Guided Implementation
Agents load package and layer rules before editing, so implementation follows the same conventions your team expects from humans.
Quality Gates & Delivery Records
Verification, release notes, WizNote sync, and session wrap-up become explicit steps instead of optional cleanup at the end.
Workflow
Plan → Execute → Check → Finish
HumanThread makes the handoff between people, agents, and quality gates visible, so work survives long sessions and context changes.
1
Plan
Capture the goal, constraints, PRD, and research context before implementation starts.
2
Execute
Run code changes against the active task with the right package specs in scope.
3
Check
Review behavior, lint, types, tests, and cross-layer consistency before shipping.
4
Finish
Record decisions, sync documentation, commit cleanly, and leave a trace for the next session.
Dashboard preview
A workbench for one active thread.
The authenticated dashboard keeps the current task, team load, queue, timeline, local agent actions, and documentation state on one operational surface.
Current task
synced
Team snapshot
synced
Quality report
synced
Use cases
Built for teams already working with agents.
AI-assisted coding teams
Engineering workflow standardization
Long-running feature development
Agent context management
Bring structure to AI-assisted development.
Start from the dashboard after login and keep every agent session tied to a durable task.