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Stop your AI agent from
going off the rails

Archie gives your AI coding agent memory, roles, and approval gates. A structured workflow that turns chaotic AI sessions into a repeatable pipeline from idea to merged code.

16 free CLAUDE.md templates + cheat sheets. No account needed.

11

AI skills included

19

Memory templates

3 min

Setup to first task

16

Free CLAUDE.md templates

Watch it work

From idea to merged PR, on autopilot

Five skills. Five stages. One structured pipeline. Watch how Archie turns a feature request into clean, reviewed, merged code.

The problem

AI agents are fast.
They're also fast at being wrong.

You ask your AI agent to build a feature. It writes 400 lines of code in 3 minutes — touching files it shouldn't, ignoring your architecture, making decisions you never approved. You spend an hour untangling the mess. Sound familiar?

×Agent refactors code outside the task scope
×No memory between sessions — context is lost every time
×One giant PR that's impossible to review
×Architecture decisions made without your input
×No separation between design and implementation

The solution

Structure that lets AI move fast
without breaking things

Archie separates thinking from doing. Your agent designs before it codes, gets your approval at every stage, and works from a shared memory that persists across sessions.

Persistent Memory

Architecture, patterns, decisions, and context survive across sessions. Your agent never starts from zero.

Role-Based Skills

Architect designs. Tech Lead plans tasks. Dev Agent implements. Each role has clear boundaries and a defined output.

Approval Gates

Nothing ships without your say-so. Review designs and task breakdowns before any code is written. Just say "looks good."

Two workflows

Full pipeline or fast-track. You choose.

For L/XL features

Full Workflow

1
/architect

Design the feature, identify risks

You review and approve the design
2
/tech-lead

Break into tasks, auto-inject backlog

You review and approve the tasks
3
/dev-agent

Implement one task, commit, open PR

For S/M features

Fast-Track

1
/quick

Design + tasks in a single pass

You review and approve once
2
/dev-agent

Implement one task, commit, open PR

90 seconds from idea to tasks in the backlog.

Before & After

Same AI. Different outcome.

Without Archie

"Build me a notification system."

Agent writes 600 lines across 12 files in one shot

Restructures the database schema without asking

Introduces a message queue you didn't want

Tests pass but the architecture is wrong

You spend 2 hours reverting and re-explaining

3 hours wasted. Back to square one.

With Archie

"Build me a notification system."

/architect — designs the system, you approve

/tech-lead — 5 focused tasks, you approve

/dev-agent — implements task 1, opens clean PR

Each task: 1 service, ≤15 files, clear done-when

You review small PRs you can actually understand

45 min total. Clean code. Correct architecture.

What developers are saying

I used to spend 30 minutes re-explaining context to Claude every session. With Archie, it just knows. The memory system alone is worth the price.

Senior Engineer

Series B Startup

The approval gates changed everything. My AI agent was making architecture decisions I'd only catch during code review. Now I approve the design before a single line is written.

Tech Lead

Enterprise SaaS

We went from 1 giant PR per feature to 4-5 small, reviewable PRs. The fast-track workflow for small features is addictive — 90 seconds from idea to backlog.

Full-Stack Developer

Agency

What's included

Everything you need. Nothing you don't.

7 Core AI Skills

Setup, Status, Standup, Architect, Tech Lead, Quick, Dev Agent — each with a full task definition

Persistent Memory System

19 template files for architecture, patterns, decisions, epics, tasks, and per-service context

Two Workflows

Full pipeline for complex features. Fast-track for small ones. Same quality gates.

VCS Integration

GitHub, GitLab, Bitbucket — auto-creates branches, commits, and PRs/MRs

Security Review SkillPro

Automated security audit — OWASP categories, dependency CVEs, secrets detection, auth analysis

Code Review SkillPro

Structured code review for correctness, performance, architecture compliance, and test coverage

Test Plan SkillPro

Comprehensive test plans with specific inputs, expected outputs, edge cases, and priority rankings

Retro SkillPro

Sprint retrospectives with velocity metrics, quality analysis, and actionable improvement items

The math is simple

One prevented rework session pays for Archie.

2-3 hrs

Average time lost to one unstructured AI session that goes wrong

$75-150+

Your time cost at a modest $50/hr developer rate

$79

Archie. One-time. Pays for itself the first time it saves you from a 3-hour rework.

New product

Building mobile apps?

Archie Mobile brings the same structured workflow to React Native. Mobile-aware memory, platform-smart skills, and security gates that understand Expo, React Navigation, native modules, and app store requirements.

11

Mobile skills

19

RN templates

iOS

+ Android

$99

One-time

Free — no account needed

Not ready to buy? Start with the free resources.

16 CLAUDE.md templates for every major stack, plus a Claude Code cheat sheet and prompt engineering guide. Drop them into your project and go.

Download free resources

Start shipping with structure

One-time purchase. Drop the files into your project, run /setup, and your AI agent has memory, roles, and guardrails.

30-day money-back guaranteeUnlimited projectsOne-time purchase