The fully agentic SDLC · now in early access

Turn your brownfield, green.

The AI-Powered Issue-to-PR Pipeline

Incredibuilders automates your entire development lifecycle — from claiming a GitHub issue to merging a production-ready PR. Six structured stages. Enforced quality gates. Zero context loss.

Get Early Access See How It Works
VS Code extension Web dashboard iOS companion GitHub + GitLab in preview
Incredibuilders — Pipeline live
Incredibuilders pipeline command center running inside VS Code — live pipeline slots, model routing, and token spend
  1. 01 Issue Pickup
  2. 02 Feature Planning
  3. 03 Feature Dev
  4. 04 Feature Validate
  5. 05 PR Create
  6. 06 PR Merge
issue #3663 Claiming the highest-priority issue… Merged to main — zero context loss.
The Pipeline

Six Stages. One Pipeline.
Zero Context Loss.

Each stage runs in isolation with focused context. Clean handoffs between stages — not accumulated conversation history.

01
13 phases

Issue Pickup

Claim issues with intelligent priority sorting

Automatically selects the highest-priority issue. Branch created, requirements extracted, environment ready.

02
14 phases

Feature Planning

Documentation-first design that reduces overhead

Reads your project documentation before code. Creates a structured plan with phases, file changes, and test strategy. Requires your approval.

03
18 phases

Feature Dev

Parallel implementation with automatic quality review

Independent file changes execute in parallel. Security scanning, standards compliance, and tests written alongside code.

04
21 phases

Feature Validate

Build verification hard gate + automated testing

Build must pass — no exceptions. Framework-aware test execution, dead code detection, and validation against acceptance criteria.

05
14 phases

PR Create

Auto-generated PRs with full traceability

Pre-flight quality checks, auto-generated description with full context, issue linking for automatic closure, and reviewer assignment.

06
14 phases

PR Merge

CI auto-fix, review handling, and cleanup

Auto-fixes linter and format issues. Review feedback addressed intelligently. Epic auto-close. Full cleanup on merge.

6 stages
94 verified phases
21 deterministic gates
1 pipeline · zero context loss
Built to be left running

Guardrails at every layer

Autonomous AI development only works when something keeps it honest. Six deterministic safety layers run alongside every pipeline.

🛡

Cascade Circuit Breaker

Pauses on clustered failures — never auto-resumes.

✓

Stage Verification Gates

Trust but verify after every LLM stage, deterministically.

🔒

Prompt Injection Firewall

Two-layer input/output validation. Bash escapes blocked.

⚖

Failure Taxonomy

Transient infra failures don’t pollute health scores.

📜

Audit Archival

Hash-chained event stream — compliance-ready.

±

Baseline Detection

Auto-fix only addresses regressions you introduced.

Explore guardrails →
Why Incredibuilders

Built Different

Not just another AI code generator. A complete development lifecycle with enforced standards at every step.

Context Isolation

Each stage runs in isolation with only the context it needs. No drift. No bloat. Complex features complete every time.

Documentation-First

Reads your project documentation before exploring code. Reduces overhead and ensures implementations match your standards.

Enforced Quality Gates

Build verification is a hard gate — not a suggestion. Plan approval required before coding. Acceptance criteria validated before merge.

Portable Skills

Write once, use everywhere. Same pipeline skills work across Claude, Copilot, Codex, Cursor, and Gemini.

Self-Healing Pipeline

Auto-fixes linter errors, format issues, and minor CI failures. Capped retries with automatic escalation to the developer.

Epic & Dependency Tracking

Automatic epic detection, sub-issue routing, dependency checking, and auto-closure when all sub-issues merge.

Adaptive Intelligence

Not All Issues Are Equal

Incredibuilders doesn't throw the same resources at every issue. It scores complexity, selects the right model, and routes to the optimal pipeline path — deterministically.

Adaptive Complexity

Every issue is automatically assessed and routed to the right pipeline path — simple work finishes fast, complex work gets the depth it needs.

Learn more →

Smart Model Selection

The right AI model for every task. Lightweight models handle simple work. Powerful models handle complex reasoning. Your cost stays optimized.

Learn more →

Intelligent Routing

Simple issues finish in minutes. Complex work gets the full pipeline. The system adapts automatically — no manual configuration required.

Learn more →
VS Code Extension

Your Command Center in VS Code

Everything you need to run the full pipeline, right from your editor. No CLI required.

Incredibuilders Pipeline — VS Code
Incredibuilders VS Code extension dashboard showing pipeline slots, model routing, and platform quota

One-Click Pipeline

Run the full 6-stage pipeline on any issue with a single click. No terminal, no setup, no context switching.

Visual Progress Tracking

Real-time sidebar showing stage progress, status indicators, and estimated time remaining for each pipeline run.

Batch Overnight Runs

Queue multiple issues and let the pipeline process them sequentially. Start it before you leave — review PRs in the morning.

Token & Cost Monitoring

Track token usage and cost per stage in real time. Set budgets for batch runs and monitor efficiency trends over time.

Workflow

From Issue to Merged PR

Three steps. Fully automated. You stay in control at every approval gate.

1

Pick an Issue

Select a GitHub issue or let Incredibuilders automatically choose the highest-priority work. Feature branch created. Requirements extracted. Ready to go.

2

AI Plans, Builds & Tests

Documentation-first planning, parallel implementation, and multi-phase validation — all automated with clean context handoff between stages.

3

Review & Merge

Auto-generated PR with full context and traceability. CI issues auto-fixed. Reviews categorized. Epic auto-closed on completion.

# Run the full pipeline on issue #42
$ incredibuilders run 42

Stage 1/6 — Issue Pickup … claimed, branch created
Stage 2/6 — Feature Planning … plan ready for review
Stage 3/6 — Feature Dev … 3 files changed, parallel execution
Stage 4/6 — Validation … build passed, 12 tests passed
Stage 5/6 — PR Create … PR #87 opened, closes #42
Stage 6/6 — PR Merge … merged, branch cleaned up
Multi-Platform

Works With Your Favorite AI Tools

Portable Agent Skills specification means no vendor lock-in. Start in one tool, continue in another.

C
Claude Code
G
GitHub Copilot
O
OpenAI Codex
Cu
Cursor IDE
Ge
Gemini CLI
VS
VS Code

Write skills once as portable SKILL.md files. They run everywhere — across Claude, Copilot, Codex, Cursor, and Gemini. Structured JSON context travels with you, so you can switch tools mid-issue without losing progress.

Roadmap

What’s shipping next

A few features are in active development or limited preview. Early- access teams get them as they land.

◐ In preview

Autonomous Orchestrator

Hands-free, cross-repo issue selection with dependency-graph aware parallelism, critical-path scheduling, and focus-mode steering. Set it before you log off.

Limited beta · summer 2026
◐ In preview

GitLab & self-hosted forge

Same pipeline, same skills, on GitLab CE / EE — including self-hosted instances. One forge abstraction, two platforms.

Private preview
● Shipping

Mattermost & Discord chat-ops

Inbound slash commands and outbound pipeline notifications. Drive the queue from chat, get paged when guardrails trip.

Mattermost shipping · Discord live
● Shipping

Mobile + Web companions

Native iOS app for remote pipeline monitoring and a web dashboard for team management, billing, and analytics — built on the same platform API.

Mobile MVP · web dashboard expanding

Legacy code doesn’t have to stay legacy.

Technical debt. Inherited chaos. Undocumented spaghetti.
Incredibuilders scores every brownfield codebase deterministically — then ships a phased plan with characterization tests and a rollback path for each phase.

Start Transforming
Brownfield modernization dashboard showing readiness score, stack-by-stack analysis, and phased plan
Common questions

FAQ

The things teams ask before piloting Incredibuilders on a real codebase.

How is this different from Cursor, Copilot, or other AI coding tools?
Those tools assist you while you code. Incredibuilders runs the entire issue-to-PR pipeline on its own — six structured stages, 94 verified phases, deterministic gates after every phase. You start with a GitHub issue; you end with a merged PR. The IDE editing experience isn't the product. The pipeline is.
What does Incredibuilders actually run on?
A VS Code extension paired with a deterministic Go orchestrator and the Claude Agent SDK. Skills are portable across Claude, Copilot, Codex, Cursor, and Gemini — write once, run anywhere. Pipeline state lives in JSON handoff files between stages, never accumulated conversation history.
How safe is this to leave running on real code?
The whole reason the product exists: six guardrail layers sit alongside the pipeline. Cascade circuit breaker pauses on clustered failures with no auto-resume. 21 deterministic phase gates verify work before context handoff. Prompt-injection firewall blocks dangerous patterns at input and output. Audit trail captures every stage, retry, and fix.
What about my codebase staying private?
Your code stays in your repos. Incredibuilders runs locally in your VS Code extension and connects to Anthropic's API directly with your own keys or our managed credits. Premium skills are served on-demand and never persisted to disk. No code is ever sent to our servers for training or analytics.
How much does it cost to run?
Two costs: AI tokens (paid to Anthropic at API rates — typically $0.20–$1.00 per issue depending on complexity, with the dashboard showing per-issue spend) and the Incredibuilders product itself, which is free during early access. Token budgets are configurable at workspace, per-stage, and per-pipeline-run levels with hard caps.
Does it work on existing (brownfield) codebases?
It's actually built for them. The Brownfield Dashboard scores readiness across 8 axes, scaffolds characterization tests before refactoring starts, and emits a phased modernization plan with confidence levels. Hybrid recommendations (refactor backend / rewrite frontend in parallel) are common output.
What if the AI gets something wrong?
Three layers catch that. Phase gates verify each phase's promised artifacts before moving on. The RALPH self-healing loop diagnoses and retries failures within bounded retries. If something falls outside the auto-fix envelope, the pipeline escalates to a developer with the stage-exit diagnostic (last bash, stderr tail, classification) — not a vague stack trace.
Will it work with GitLab or self-hosted forges?
GitLab support (CE, EE, and self-hosted) is in private preview behind the same forge abstraction that runs GitHub today. Mattermost chat-ops and Discord notifications are already live. The roadmap section on the homepage tracks shipping vs preview status.
Who's behind it?
Incredibuilders is built by edibu LLC — small, focused, engineering-led. The product itself is built using Incredibuilders (dogfooding) — every dashboard you see has shipped real issues through itself.
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Be the first to know when Incredibuilders launches on the VS Code Marketplace.