Turn product requirements into deployed, tested feature branches. Replace prompt engineering with structured autonomous workflows.
Attach a file, select a workflow, and watch plans, roles, and steps stream live. Then open Ask Crew Orbit for grounded answers from your knowledge library.
AI assistants write code, but they do not run engineering teams. CTOs, founders, and product leads are hitting the same wall.
Developers are stuck manually prompting tools with zero structure. Without specs or validation, you get spaghetti code instead of software.
"The productivity hype does not match reality."
Planning, testing, and commits still fall on humans. You might have an AI writing snippets, but you do not have an AI engineer finishing tickets.
"AI tools write code, but they do not run engineering teams."
Managers are flying blind. Chat logs scatter decisions, and there is no shared trail of roles, steps, or sources the AI used.
"No way to see what the AI searched, cited, or did."
AI output is inconsistent and breaks builds. Teams spend more time fixing AI mistakes than writing code from scratch.
"The productivity gains never materialize."
Add specs, decisions, and runbooks to a knowledge library you control. Ask Crew Orbit answers from them and shows which passage it used. Citations open. Not a black-box chat blob.
Knowledge is what the AI knows. Guidance is how it behaves. Admins write rules and commands once in markdown, and every Ask Crew Orbit turn picks them up. No one has to remember to paste the conventions in.
Admin-authored markdown invoked by name in the composer. Four ship seeded: refine-story, bug-triage, standup, vocabulary. The command menu is useful on day one instead of an empty box.
"Always say work item, never ticket" is a rule injected on every turn in scope. Not a style page nobody opens. Your vocabulary and your review habits, enforced by the platform.
Guidance resolves System → Org → Project by slug, so a project overrides one rule without forking the whole set. The overridden row is badged in the list, not silently shadowed.
In Ask mode the mutating tools are absent from the tool registry. The model is not politely asked to behave. It has nothing to call. Agent mode restores the full set, still behind approval cards for irreversible, costly, or external actions.
Applied and cited attribution, alongside knowledge citations. The applied list is what entered the turn. The cited markers are the guidance that materially shaped the answer. Auditable, not magic.
Teach it your stack once. Eighteen platform skill playbooks ship seeded: java, react, spring-boot, dynamodb, security, api-design, testing-pyramid and more. They merge system, org, and project layers. Attach them per work item so runs apply the same standards.
Guidance shapes the conversation surfaces: Ask Crew Orbit, rooms, and task comments. Skills are what travel into runs.
From team setup and connected models to a ready task.
Connect an MCP tool server, choose which tools are enabled, and Crew Orbit asks before it uses one. Real external data comes back into the conversation as markdown you can read.
These tools work in Ask Crew Orbit. Runs cannot use them yet.
Turn a shared decision into knowledge for the right audience. Then find every room, and open mentions at the exact message.
Save a conversation into knowledge through one clear review step. The note stays linked to where it came from. It is searchable, citable, and scoped to the right audience.
See every project conversation in one place. Rename, mute, or open a room without hopping projects to find the thread.
When someone mentions you, the notification takes you straight to the exact message. Not a dead inbox or the wrong room.
Crew Orbit still runs autonomous engineering workflows: plan, build, validate, commit, push. Roles, handoffs, and a documented trail stay with the work. Start from grounded context in Ask Crew Orbit. Execute when the work is ready.
Define any roles you need, like Planner, Developer, QA, or Security. They collaborate through structured handoffs with specific responsibilities, prompts, and feedback loops.
Spec-driven development runs the full sequence: Plan, Spec, Implement, Validate, Commit, Push.
Did a test fail? The AI detects the issue, rewrites the code, and re-validates. It fixes itself until it works.
Every run shows its roles, steps and outputs: plans, validation results, feedback, and reruns. A decision panel lets you approve, send back, or ask for a fix. File-level diffs are not the promise we lead with today.
The crew moves from planning to implementation and validation. Each step stays visible with the work.
Your senior engineers are not going to hand implementation to an agent, and they should not have to. Finish the work in Cursor, Copilot, or a plain editor, push the branch, link it to the work item, and ask for a review.
A review is a run: it uses the same execution allowance as a delivery run. And when the team is ready to let the AI build, nothing else has to be set up.
Structured workflows for common development tasks. Each defines a sequence of AI actions with validation loops. One reviews instead of building.
Full rigor: plan, spec, implement, validate, commit, push.
Plan, implement, validate, commit, push. Streamlined.
Implement fix, validate, commit, push. Minimal overhead.
Implement, commit, push. Fastest path for small changes.
Link, diff against base, report findings, decide. Analyze-only. No implement, commit, or push.
Use the preview to follow the compact path from task submission to the crew working through its roles.
CTOs, founders, architects, PMs, and engineering teams who need more output without more headcount.
Grounded answers, approved tools, and documented runs. No need to hire more engineers.
Capture decisions in the knowledge library; let structured workflows handle implementation with reusable standards.
Ask with citations, follow run roles and steps, and jump into Messages when a mention lands.
Backlog, AI execution, visibility: best practices in one click. No more juggling five tools.
Standardize AI development workflows across the team. Reduce repetitive tasks, maintain quality. Same best practices for everyone, from startups to enterprise.
Not another chat box on top of a model. Ask Crew Orbit cites your documents, remembers decisions in a knowledge library, and asks you to approve before touching another system. Then structured runs leave a trail of roles, steps, and outputs.
Every answer shows the passage it came from. Open the source, jump to the chunk, and trust what the team already wrote down.
Connect a tool server, enable what you want, approve each call. Honest boundary: conversation today. Runs cannot use them yet.
One repeatable workflow per task. Reusable skills and teams instead of everyone improvising in their own IDE setup.
Follow execution without babysitting a terminal. Plans, role output, validation, and feedback stay on the task. Not lost in private chats.
Great demos die in procurement over where data goes, whose keys are used, and who can see what. Crew Orbit holds no certifications and claims none. What it gives your security program is control you can point at.
AI Assist credentials take an optional HTTPS base URL, so Ask Crew Orbit, description optimize, and knowledge embeddings run against Azure OpenAI, LiteLLM, a corporate proxy, or an OpenAI-compatible self-host. Egress is guarded: HTTPS only, public hosts only, private network addresses blocked. Worker CLI providers still run on their vendor hosts.
Bring your own OpenAI or Anthropic credentials. They are stored encrypted and never returned to a client. Not even as a masked value. No token resale margin sitting in the middle of your provider bill.
What a person can retrieve follows what they are allowed to read, and projects outside their access are disclosed as excluded rather than silently dropped. The retrieval audit stores a hash of the query, not the question text.
One server-side authority resolves scope. Never a client-supplied organization id. Knowledge rows are partitioned per organization, the chunk store carries no cross-tenant index path, an IAM policy denies table scans even if code regresses, and a nightly canary probes for cross-tenant leaks.
Git connections and AI credentials have an explicit Test. Submitting a run is blocked when the credential failed, was never tested, or its last success is older than seven days. You find out at the form, not three minutes into an execution.
Created and last-edited stamps plus a History sheet on work items, projects, settings, and labels. Gated on an audit permission, so the trail is available to the people who need it and not to everyone.
No certification claims. Crew Orbit is built to support your security program. It does not replace your security review. It does not pretend to be an attestation.
Answers for CTOs, founders, engineering leads, and teams evaluating grounded knowledge, shared guidance, branch review, data control, and structured AI delivery.
Cursor and GitHub Copilot help individual developers write code faster. Crew Orbit gives the whole team Ask Crew Orbit with citations, a shared knowledge library, connected tool servers with approval, plus structured AI runs with roles, workflows, validation gates, and permissions.
Yes for the run trail. Every run shows its roles, steps, and outputs: plans, validation results, feedback, and reruns. A decision panel lets reviewers approve, send back, or ask for a fix. File-level change summaries depend on worker-published metrics and are not the headline promise today.
Ask Crew Orbit is grounded conversation over your knowledge library. Answers cite the passages they used, you can open those sources, save decisions back into knowledge for the right audience, and connect tool servers that ask for approval before each use. Connected tools work in conversation today. Runs cannot use them yet.
Yes. That is Crew Guidance. Admins author markdown once in settings and it applies automatically. Rules apply on every turn in scope, so 'always say work item, never ticket' is enforced instead of living in a wiki nobody opens. Commands are invoked by name in the composer, and four ship seeded: refine-story, bug-triage, standup, and vocabulary. Guidance resolves System → Org → Project by slug, so a project can override one rule without forking the set and the overridden row is badged in the list. Guidance shapes the chat surfaces: Ask Crew Orbit, room mentions of crew, and task-comment mentions of crew.
Ask mode. Every turn carries a mode, and in Ask mode the mutating tools are absent from the tool registry. Only the read-only knowledge, work-item, and guidance lookups are available. It is not a prompt asking the model to behave. There is nothing for it to call. Agent mode restores the full tool surface, and irreversible, costly, or external actions still show an approval card before they run.
Yes. Keep the editor your team already likes. Link the branch you pushed to the work item by name, by pasting a pull-request or compare URL, or by picking it from your connected remote. Then ask Crew Orbit to review it. The review path is Analyze-only by contract: the review workflow permits no implement, commit, or push step. Crew Orbit checks out that existing remote branch and diffs it against base. A missing branch fails with a plain reason instead of reviewing an empty one. Findings render on the work item alongside the run's commits and compare or pull-request links. You pick one of three exits: approve and complete, let the AI fix it, or send it back to me. A review is a run and uses the same execution allowance as a delivery run.
Crew Orbit uses structured workflows with planning, implementation, validation, and correction loops. When checks fail, the workflow can route the task back through fixing and validation before the output is considered ready.
Not for the Assist surfaces. AI Assist credentials accept an optional HTTPS base URL, so Ask Crew Orbit, description optimize, and knowledge embeddings can run against Azure OpenAI, LiteLLM, a corporate proxy, or an OpenAI-compatible self-host, with Bearer or Azure API-key auth. Egress is SSRF-guarded: HTTPS only, public hosts only, private network addresses blocked. Worker CLI providers still run against their vendor hosts. The keys stay yours, stored encrypted, and secrets are never returned to a client.
No, and no Crew Orbit page claims one. What Crew Orbit gives your security program is control you can verify: your own AI endpoint and your own keys, retrieval that follows what each person is allowed to read, a retrieval audit that stores a hash of the query rather than the question text, organization-partitioned knowledge storage with an IAM policy that denies table scans and a nightly cross-tenant canary, credential testing that blocks a run submit on a failed, never-tested, or over-seven-days-stale credential, and permission-gated Created and Last edited stamps with a History sheet on work items, projects, settings, and labels.
Crew Orbit is designed around isolated execution and secure credential handling. Teams connect repositories and providers without copy-pasting secrets into private chats or local prompts.
Yes. Organizations, projects, members, roles, permissions, teams, and workflows create a shared structure so AI delivery can scale beyond one developer's personal prompting habits.
The value is not only faster code generation. Crew Orbit reduces hidden rework by making AI runs repeatable, reviewable, validated, and easier to run in parallel across a backlog.
Yes. Crew Orbit is built for human-in-the-loop delivery. Developers, CTOs, founders, and product leads keep control over requirements, feedback, review, and merge decisions while AI handles structured execution.
No. Crew Orbit is designed around provider flexibility. Teams can choose models and providers per workflow need while keeping the same delivery process.
One execution is one complete workflow run from plan through commit. If validation or self-correction loops run multiple times inside that workflow, it still counts as one execution.
Answer-first posts for CTOs, founders, and engineering teams comparing AI coding tools, workflow ROI, review visibility, validation gates, permissions, and team-scale AI delivery.
The reasoning behind a decision, and the options it rejected, happens in a thread, then scrolls away. Six weeks later the question is asked again and the AI has no idea it was settled. Select the messages that mattered, let the AI draft a note, edit and confirm it, and it becomes a searchable, citable document linked back to the conversation. Nothing is captured without a person approving it.
Aug 14, 2026
MCP is an open protocol that lets an AI application call tools exposed by external servers over one standard interface. The hard part is not the protocol. It is governance: which tools are enabled, who approves a call, and what happens when a server is unreachable. Includes the honest limit in Crew Orbit: connected tools work in Ask, not inside runs.
Aug 13, 2026
AI purchases rarely fail on the demo. They fail in the security questionnaire, on where data goes, whose keys are used, and who can see what. Crew Orbit AI Assist credentials accept a custom HTTPS endpoint (Azure OpenAI, LiteLLM, a corporate proxy, or an OpenAI-compatible self-host), so Ask, optimize, and knowledge embeddings run where you decide, with bring-your-own keys, permission-filtered retrieval, and hashed query audit.
Aug 13, 2026
Join the waitlist for grounded Ask Crew Orbit, a knowledge library your team controls, approved tool use, and structured runs with a documented trail.
We'll notify you when your spot is ready.