Build, Ship & Iterate Faster

The complete agent engineering platform. From ingesting context to generating code — every stage of software development, automated.

Better context = better code. Fabric manages the Context Tax so your agents produce precise, production-ready output — not generic boilerplate.

Ingest Context
Generate Artifacts
Ship Code
Context-aware agents
Multi-provider AI
MCP Integration
Durable Workflows
fabric.dev — context pipeline
LIVE
product-spec.md
src/auth/**/*.ts
api-design.yaml
architecture.md
Context Loaded0%

0 tokens • 0/4 sources

auto-cycling

10x

Faster Development

50+

Specialized Agents

100+

MCP Integrations

0

Context Switches

The Problem

The Context Tax

Every handoff between people, tools, and documents leaks context. That leaked context compounds into rework, drift, and invisible risk: a tax your team pays on every feature.

REWORK

Stale artifacts after every meeting

A decision changes in standup; the PRD, stories, and test plan are already wrong. Teams burn hours patching docs nobody trusts.

DRIFT

Specs and code diverge silently

Requirements say one thing, code does another. Nobody notices until QA (or production) surfaces the gap.

BOTTLENECK

Senior engineers become translators

Your most expensive talent spends half their week converting meeting notes into tickets and keeping wikis current.

RISK

Decisions vanish into chat threads

Critical context lives in Slack messages and meeting recordings nobody re-watches. New team members start from zero.

WASTE

AI suggestions without project context

Generic copilots generate plausible-looking code that ignores your architecture decisions and domain conventions.

FRICTION

Tool-switching kills flow state

Context scatters across Figma, Linear, Notion, Slack, and GitHub. Developers rebuild mental models dozens of times a day.

How Fabric Works

From Context to Delivery

Fabric ingests every signal your team generates, maintains a living project model, and pushes consistent artifacts to the tools you already use.

Inbound Context
Meeting transcripts
Specs & designs
Architecture decisions
Slack / Teams messages
Jira / Linear tickets
GitHub commits & PRs
Stakeholder feedback

Persistent project context. Agentic orchestration. MCP-connected tools. Decision traceability.

Outbound Action
PRDs & technical specs
Epics & user stories
Acceptance criteria
Code changes & reviews
Test plans
Release notes
Stakeholder updates
Fabric vs. the Status Quo

Not a chatbot. A delivery platform.

AI copilots help individuals write faster. Fabric helps teams ship faster. Here’s the difference.

DimensionAI CopilotsFabric
ContextStarts fresh every promptPersistent project memory across all tools
ScopeOne file, one taskEnd-to-end delivery chain
ArchitectureSingle-turn prompt/responseMulti-agent, event-driven orchestration
IntegrationsEditor pluginsMCP servers: Jira, Slack, GitHub, Teams +
OutputText you paste somewhereConnected artifacts with decision traceability
ChangesRegenerate and diff manuallyComputed diffs with decision lineage
ApprovalsReview everything from scratchReview what changed and why
Team benefitIndividual productivityTeam velocity, predictability, and trust
Platform Capabilities

Everything You Need, From Context to Code

Ingest project knowledge, generate structured artifacts, and ship with AI agents that truly understand your codebase.—built for teams that move fast and ship quality.

New

Agent Templates

Pre-built agents for business workflows

Sales Automation

CRM updates & follow-ups

S
S

Meeting Assistant

Notes & action items

G
N

Report Generator

Weekly analytics reports

S
S
New

Visual Kanban

Track tasks across your team

Sprint 24On Track
18 tasks4 members
Backlog5

User research

low
To Do3

Design system

high
In Progress2

API integration

high
Done8

Auth setup

medium
New

Integrations

Connect your favorite tools

Slack
GitHub
Figma
Google
Notion
Linear
50+ MCP Servers Available
New

Task Delegation

Agents that coordinate & ship

PlannerWorking...
CoderWaiting
ReviewerWaiting
New

Knowledge Base

AI powered by your data

Knowledge Search

Company Wiki

Notion

95%

match

Product Docs

Confluence

88%

match

Slack History

Slack

72%

match

Semantic search across all sources
New

Durable Workflows

Temporal-powered automation

Active Workflows

Daily Standup Summary

09:00 AM

running

PR Review Notification

Just now

triggered

Weekly Report

Fri 5PM

scheduled
New

Report Templates

Auto-generate team reports

Sprint Retrospective
OKR Progress
Team Velocity
12 more templates available
Architecture

Dynamic Agentic Platform

Fabric isn’t a chatbot that waits for prompts. It’s an agentic system — autonomous AI agents that observe project signals, reason about context, and take coordinated action across your delivery pipeline.

Observe

Context Agent

Continuously ingests and indexes signals from connected tools (meetings, commits, tickets, messages) to build a living project knowledge graph.

Reason

Reasoning Agent

Interprets changes against project history, standards, and decisions. Understands intent, detects conflicts, and determines what downstream artifacts need updating.

Act

Action Agent

Generates and updates artifacts (PRDs, stories, code, release notes) with full traceability back to the triggering decision. Proposes diffs, not rewrites.

Verify

Review Agent

Surfaces clear diffs with decision lineage for human review. Highlights what changed, why, and what it impacts, so approvals are fast and informed.

1Observe
2Reason
3Act
4Verify
Traceability

See what changed. Know why.

Every output includes a clear diff and a decision trail. Approvals go from “re-read everything” to “I see exactly what changed.”

Decision Lineage

Every artifact links back to the conversation, meeting, or decision that created it. Reviewers can trace any change to its origin in seconds.

Stakeholder call Jan 28
↓ ACH payments requested
PRD §3.2 updated
↓ Payment scope expanded
JIRA-1847 created
↓ New story: ACH verification

Artifact Diffs

When context changes, Fabric updates every affected artifact and shows exactly what moved. No more guessing which stories were added or which acceptance criteria shifted.

Epic: Checkout Redesign
- Story: Support credit card only
+ Story: Support credit card + ACH payments
+ AC: ACH requires bank verification flow
Story: Apply discount codes at checkout
+ Linked: Stakeholder call 01/28 — ACH requested
Proven Results

Join 2,000+ Teams Shipping Faster

From startups to enterprises, teams are automating their SDLC and focusing on what matters—building great software.

0K+

AI Tasks Completed

Workflows, PRDs, and code reviews processed

0K+

PRs Generated

Production-ready pull requests created by agents

0M+

Lines of Code

Written, reviewed, and deployed by AI agents

0%

Time Saved

On documentation and repetitive tasks

What Engineering Leaders Are Saying

"Fabric transformed how we ship software. Our PRD-to-production time went from 2 weeks to 2 days."
85%
Faster shipping
10x
More PRs/week
J

Jerry N.

VP of Engineering

"The coding agents are incredible. They understand our codebase and follow our patterns perfectly. It's like having senior devs on demand."
60%
Less boilerplate
4.8
Code quality score
J

John K.

Staff Engineer

"Our documentation is finally up to date. The AI generates specs that developers actually want to read. Game changer for product teams."
100%
Doc coverage
90%
Less back-and-forth
S

Steve M.

Director of Product

Trusted by teams at

VercelStripeLinearNotionFigmaSupabase
Connections

Your Tools, One Context

Fabric connects to your existing stack through MCP (Model Context Protocol) servers — a standardized interface that lets AI agents securely read from and write to the tools your team already uses.

Project Management

Jira

Sync epics, stories, sprints, and status bidirectionally

Linear

Import issues and project structures in real time

Azure DevOps

Connect boards, backlogs, and work items

Communication

Slack

Capture decisions from channels and threads automatically

Microsoft Teams

Ingest meeting notes, chat context, and action items

Email

Extract requirements and feedback from stakeholder threads

Development

GitHub

Monitor PRs, commits, code reviews, and branch context

GitLab

Bidirectional sync with merge requests and pipelines

Bitbucket

Connect repositories and pull request workflows

Documentation

Confluence

Read and update specs, RFCs, and design documents

Notion

Sync project wikis, meeting notes, and knowledge bases

Google Docs

Import and reference shared documents and sheets

MCP — Model Context Protocol

MCP is an open standard that gives AI models a consistent way to interact with external tools and data sources. Instead of building one-off integrations, Fabric uses MCP servers to connect securely to your stack, so adding a new tool is configuration, not code.

Pricing

Choose the plan that works best for you.

Recommended

Individual

Full-stack AI engineering with your own API keys
  • Bring Your Own AI Key (BYOK)
  • Advanced models (GPT-4, Claude, Gemini, Mistral & more)
  • Custom AI agents that can execute actions
  • Connections (GitHub, Google Drive, Notion, Slack…)
  • Unlimited AI chats & agent tasks
  • Privacy & data security (SOC2, Zero Data Retention)
  • AI-powered Kanban boards & workflows
  • Knowledge base & document RAG
  • MCP server integrations
  • Priority email support
7 days free trial
$29.00 / month

Enterprise

Custom deployment for large teams with advanced security
  • Everything in Individual, plus:
  • Advanced security and controls
  • Larger storage and file size limits
  • Single Sign-On (SSO) (Okta, Entra ID, Jumpcloud)
  • Custom pricing on API & programmatic usage
  • Flexible payment options (SEPA, Credit Card)
  • Priority support & dedicated account management
  • Priority access to new features
  • US / EU data hosting
  • User provisioning (SCIM)
  • Audit logs & compliance reporting

Frequently Asked Questions

Everything you need to know about getting started with Fabric

The AI Orchestrator is a central coordinator that intelligently delegates tasks to specialized agents. It can plan complex workflows, execute code, browse the web, and coordinate multiple agents—all with human-in-the-loop approvals when needed.

Workflows are built on Temporal, an open-source durable execution platform. This means your workflows automatically retry on failures, survive server restarts and deployments, and never lose progress—even for long-running tasks.

MCP (Model Context Protocol) is an open standard for connecting AI to external tools. Fabric supports MCP servers like GitHub, Linear, Slack, and Firecrawl—and you can connect your own custom servers to extend the platform's capabilities.

Build a library of battle-tested prompts, organize with tags and categories, and use our AI-powered enhancer to improve clarity and effectiveness. Export to XML, Markdown, or JSON and share across your team.

Yes! Use the A2A (Agent-to-Agent) protocol to register custom agents that integrate with the orchestrator. Your agents can be shared at the user or organization level and participate in orchestrated workflows.

Fabric includes 9+ system agents: Document Generator, CUGA Generalist (browser automation + code execution), Task Planner, Story Breakdown, Prompt Enhancer, Code Executor, API Agent, and MCP Tool Executor.

Absolutely. Your data is encrypted, isolated per organization, and never used to train AI models. You can use your own AI API keys (BYOK) for complete control over data processing.

All critical workflows support human-in-the-loop approvals. The orchestrator can pause for confirmation before executing sensitive actions. Review generated content before it's finalized—you're always in control.

Still have questions?

Can't find the answer you're looking for? Our team is here to help.

Contact our team
Start Shipping Faster Today

Ready to Transform How You Build Software?

Join thousands of developers who are shipping 10x faster with AI-powered automation. Everything you need to go from idea to production.

AI Orchestrator with 12+ specialized agents
Agent Templates for instant deployment
Coding agents with GitHub integration
Visual Kanban for tracking agent tasks
RAG-powered context awareness
Temporal-powered durable workflows
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