AI release control for serious software teams
OrbitForge
Lifecycle-first AI coding
Most coding tools help generate code. OrbitForge helps teams ship work that is scoped correctly, evidence-backed, resilient across providers, and ready to survive a public release.
Execution lanes
6 providers
Shipping surfaces
Web, CLI, desktop, VS Code
Release safeguards
13 intelligence systems
Ecosystem surface
No-code lifecycle studio
Hosting target
Vercel Hobby + custom domain
Live operating model
Live OrbitForge workbench
The actual product surface, not a mock hero.
Mission
Prompt, context, and proof stay visible.
Control
Providers, workflows, and recovery lanes are built in.
Proof
Snapshots, gates, and release outputs are captured in one place.
Mission lock
Launch OrbitForge on orbitforge.dev with docs, downloads, and proof that match the product.
Non-goals
No private localhost dependencies. No vague launch copy. No broken release story between pages.
Proof required
Build passes, routes render, domain resolves, and the product story matches what actually ships.
Gate
89
Readiness score with provider, route, and release checks in place.
Jury
3 lanes
Primary model, fallback, and second opinion before a risky change is accepted.
Recovery
Auto-heal
Fallback routing keeps the run moving when a provider or model fails.
Why teams switch
See plansNative Ollama support
OrbitForge
LM Studio preset
OrbitForge
Release checklist and launch pack
OrbitForge
Website, docs, pricing, downloads in one surface
OrbitForge
Provider and surface coverage
OrbitForge is designed to keep the website, workbench, CLI, desktop app, and VS Code extension aligned instead of making every surface feel like a different product.
Zero-config built-in execution lane for the hosted product
Best for private local coding sessions
Desktop-hosted OpenAI-compatible endpoint
Cloud frontier models for coding and reasoning
Claude-family models for long-horizon coding tasks
Broker multiple hosted models behind one endpoint
Local-first builders using Ollama, LM Studio, and desktop packaging.
Teams standardizing PowerShell, enterprise laptops, and shared rollout rules.
CI pipelines, self-hosted coding flows, and local model infrastructure.
The pain OrbitForge actually solves
These systems exist because teams lose time to hidden contradictions, weak proof, silent intent drift, and release workflows that live only in someone's head.
Model Jury
Teams waste time betting on one model without seeing disagreement or confidence gaps.
What changes
Run multiple models on the same task and inspect divergence before committing to a path.
How OrbitForge implements it
A first-class jury route plus a workbench panel that compares ballots, latency, and synthesis.
Mission Lock
The biggest hidden failure in AI coding is silent intent drift: the original non-negotiables disappear as soon as the workflow gets iterative.
What changes
Lock the north star, immutable constraints, non-goals, and proof requirements before generation so the system cannot quietly drift away from the real assignment.
How OrbitForge implements it
A mission-lock engine that derives non-negotiables and proof requirements from the prompt, workspace, release contract, and blast radius.
Proof Gate
Humans often accept polished answers that sound done even when no proof was provided.
What changes
Score whether the output is evidence-backed, flag unsupported completion claims, and show exactly what proof is still missing.
How OrbitForge implements it
An output trust gate that compares generated answers against the locked mission and required proof requirements.
Release Gate Preflight
Most AI coding tools let risky runs start before teams know whether auth, context, or validation plans are actually ready.
What changes
Score readiness before generation, block unsafe runs, and recommend the next best action for high-risk work.
How OrbitForge implements it
A preflight API and UI gate that evaluates provider readiness, workspace coverage, release risk, jury recommendations, and fallback playbooks.
Hidden Pain Detector
Humans often blame the model when the real issue is an unstated contradiction, a missing surface owner, or a release task with no proof expectations.
What changes
Expose invisible coordination costs, missing inputs, and contradiction-heavy prompts before they create bad output.
How OrbitForge implements it
A hidden-pain analysis layer that scores operator burden and surfaces faultlines, invisible costs, and missing inputs in the workbench.
Auto-Heal Recovery Lanes
Provider failures usually force the human to become the recovery orchestrator.
What changes
Prepare fallback execution lanes and recover from auth, network, missing-model, or compatibility failures with less manual intervention.
How OrbitForge implements it
Recovery-lane planning in preflight plus sequential fallback attempts in the chat route when recoverable errors appear.
How the product behaves
OrbitForge is built around the operational moments that break most AI coding sessions: weak setup, hidden risk, and broken continuity when conditions change.
OrbitForge captures non-negotiables, proof requirements, and non-goals so the system cannot quietly drift into a different task.
Model Jury, Blast Radius, and Release Contract work together to surface disagreement, breakage risk, and validation expectations before a patch lands.
Session Capsule, Continuity Vault, and Auto-Heal Recovery keep work moving when providers fail, laptops reset, or teams switch surfaces.
Signature systems
Compare multiple model ballots on the same task before a risky implementation lands.
Estimate what a change touches, how risky it is, and where verification effort should go.
Turn prompts into explicit acceptance criteria and public-facing rollout notes in the same session.
Freeze non-negotiables and verify that outputs are evidence-backed instead of only sounding complete.
Score readiness, catch missing credentials or weak workspace context, and stop unsafe runs before they start.
Expose contradictions, unstated assumptions, and invisible coordination costs that humans usually carry in their heads.
Resume the same run across surfaces and recover from provider failures without manually rebuilding context.
Catch stale dependency advice and keep automatic snapshots so progress survives crashes or tool switches.
Ready for launch
The app, docs, deployment flow, pricing story, download narrative, and status surface are already wired together. You are not stitching together five separate prototypes and calling it a product.
For founders and product engineers
Ship quickly without giving up proof, rollback language, or cross-surface consistency.
For platform and enterprise teams
Standardize how AI coding work is initiated, reviewed, recovered, and released across teams.