Three revolutionary products.

Agentic Project Management
Agentic Coding
Agentic Testing

Are you getting it?

These are not three separate products.

This is Agiletic.

Hierarchical planning, autonomous implementation, and automated verification — the structured methodology that makes human teams ship reliably, now fully agentic.

AI coding tools are powerful. But they don't manage complexity.

No decomposition

You manually break every feature into steps, sequence them, and track dependencies. The AI handles one prompt at a time — you handle the project management.

No context flow

Every prompt starts from scratch. Task 5 doesn't know what Tasks 1-4 created. You copy-paste context between sessions, hoping nothing gets lost.

No verification

You eyeball whether it worked. No formal criteria, no structured review, no quality gates. The AI writes code — you do the QA.

A structured pipeline, not a chat window

Every piece of work flows through the same disciplined process — from classification to verification.

1

Classify

Scope & allocate

Describe what you want to build. Agiletic classifies the complexity and automatically allocates resources — a typo fix doesn't trigger a full research phase.

2

Plan

Research & decompose

Your codebase is explored, patterns and conventions are discovered, and work is decomposed hierarchically: Epic to Feature to Story to Task — just like an agile team.

3

Build

Execute with context

Tasks are executed with full inherited context from the hierarchy. Each task knows what its siblings created, what patterns to follow, and what criteria to meet.

4

Verify

Review & iterate

Acceptance criteria are checked, integration is verified, and code quality is reviewed. Failures trigger targeted fix loops — not full restarts.

Six reasons methodology matters

The difference between a general-purpose coding agent and a structured development platform.

Hierarchy is structural

Epic, Feature, Story, Task — each level gets different research depth, resource budgets, applicable rules, and pipeline phases. Not just labels.

Context inheritance

Every step knows exactly what it needs based on its position in the hierarchy. Structured context flows down, sibling awareness flows across.

Complexity-adaptive

Incoming work is classified and resources scale automatically. A typo fix gets minimal overhead. An MVP gets full decomposition and human review gates.

Filtered rules

A 40+ rule library doesn't bloat every step. Each phase gets only the 3-5 rules relevant to its current job — filtered by role, work level, and tech stack.

Project-level persistence

Close the app, come back tomorrow. Research outputs, plans, phase summaries, and cost tracking persist at the project level — not session level.

Enforced pipeline

Every feature goes through the same gates: Classify, Plan, Build, Verify. Consistent quality, auditable process, predictable costs.

See everything happening. Control everything.

A desktop app that gives you full visibility into what AI agents are doing — real-time streaming, phase progress, and cost tracking.

Backlog column with pending features
Plan column for items being planned
Implement column with active work items
Review column with items under review
Done column with completed tasks

Streaming logs

Watch every step of the process in real-time

Phase progress

Visual timeline from classification to verification

Hierarchy view

See how work cascades from Epic to Task

Cost tracking

Per-phase cost breakdown with budgets

Typical AI coding vs. Agiletic

AI coding tools are powerful. Agiletic gives them the methodology to manage real projects.

AspectTypical AI CodingAgiletic
PlanningConversational, ad-hocStructured 4-phase pipeline
ContextFlat — everything or nothingScoped per hierarchy level with inheritance
Task managementFlat todo listEpic → Feature → Story → Task hierarchy
Rules & guidanceOne config applies to everythingFiltered by phase, work level, and tech stack
Cost trackingSession-level totalsPer-phase, per-task with budgets
Quality gateManual reviewAutomated verification with acceptance criteria
PersistenceSession-basedProject-level structured state
MethodologyNone — general-purposeAgentic Agile built into the architecture

“The same structured process that makes human teams ship reliably — now for AI agents.

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