AI app for it and development · no coding needed
Source-linked development agent console
Reduce tool sprawl while keeping code, transcripts and approvals inside the team's own environment.
Made for: Software teams and IT administrators running internal development and operations work
What it does for you
The problem
Development tasks, bug fixes and project tracking are split across several rented AI tools, so code, transcripts and decisions sit outside the team's own systems.
What it gives you
Reviewable, production-ready updates linked to their source
What you give it
Repositoriesvoice task descriptionsticketsmeeting recordingsAPI credentials
Build your own version of Devin Voice, Devin 1.2 by Congition and more
One app with what these 7 AI tools do, yours to keep and change: Devin Voice, Devin 1.2 by Congition, Devin AI, Devin by Cognition, Sled, Fabi, Ovren.
Everything these tools do, in one app
- Voice-driven task description Allows users to describe tasks verbally instead of typing.Found in Devin Voice, Sled
- Autonomous code generation Automatically writes code snippets or entire functions based on instructions.Found in Devin Voice, Devin AI, Ovren
- Debugging assistance Identifies and helps resolve coding errors.Found in Devin AI, Ovren
- Project management Aids in tracking project progress and managing development tasks.Found in Devin AI, Devin by Cognition
- Data analysis Provides insights and analytics to optimize performance and decision making.Found in Devin AI
- Systems integration Seamlessly integrates with existing systems and workflows.Found in Devin AI, Devin 1.2 by Congition, Devin by Cognition and 1 more
- Natural language generation Creates clear and coherent text outputs.Found in Devin 1.2 by Congition
- Automated summarization Condenses lengthy documents into concise summaries.Found in Devin 1.2 by Congition, Devin by Cognition
- Customizable templates Tailors outputs for different content needs.Found in Devin 1.2 by Congition
- Real-time collaboration Allows multiple users to work on projects simultaneously.Found in Devin 1.2 by Congition
- Task prioritization AI-driven prioritization and deadline reminders.Found in Devin by Cognition
- Meeting summaries Automated meeting summaries and action item extraction.Found in Devin by Cognition
- Customizable workflows Custom workflows to fit different team needs.Found in Devin by Cognition
- Real-time notifications Real-time notifications and progress tracking dashboards.Found in Devin by Cognition
- Local execution Runs code locally over a secure private network to keep data on your machine.Found in Sled
- Multi-model compatibility Works with multiple code-aware models and command-line agent workflows.Found in Sled
- Open source Open source codebase with a short setup flow.Found in Sled
- Transcription review Voice messages are transcribed and can be reviewed before being sent.Found in Sled
- Browser automation Agent can control a browser to perform tasks.Found in Fabi
- API connections Connects to APIs to integrate with other services.Found in Fabi
- Internal app building Tools to build internal applications and lightweight dashboards.Found in Fabi
- Workflow automation Automates recurring ops and long-running tasks.Found in Fabi
- Repository connection Connects directly to a repository and operates on real codebases.Found in Ovren
- Role-aware agents Role-aware AI agents for frontend and backend tasks.Found in Ovren
- Reviewable updates Returns reviewable, production-ready updates rather than simple suggestions.Found in Ovren
- Confidence signaling Flags uncertain or high-risk cases for human review.Found in Ovren
How it works, step by step
- Capture voice task descriptions with reviewable transcription
- Generate code from instructions against the connected repository
- Flag and help resolve coding errors
- Track project progress and development tasks
- Report analytics on delivery performance
- Integrate with existing systems and workflows
- Produce clear natural-language outputs
- Summarize long documents and threads
- Apply customizable output templates
- Support real-time multi-user collaboration
- Prioritize tasks and send deadline reminders
- Summarize meetings and extract action items
- Configure custom team workflows
- Send real-time notifications and progress dashboards
- Run code locally over a private network
- Support multiple code-aware models and CLI agent workflows
- Ship an open source codebase with short setup
- Review transcripts before sending
- Automate browser tasks
- Connect to external APIs
- Build internal apps and lightweight dashboards
- Automate recurring ops and long-running tasks
- Operate directly on real repositories
- Assign role-aware frontend and backend agents
- Return reviewable, production-ready updates
- Flag uncertain or high-risk cases for human review
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before merge
- Export a versioned reviewable, production-ready updates linked to their source with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Source-linked development agent console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Source-linked development agent console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce tool sprawl while keeping code, transcripts and approvals inside the team's own environment. For software teams and IT administrators running internal development and operations work, convert repositories, voice task descriptions, tickets, meeting recordings and API credentials into reviewable, production-ready updates linked to their source. The benefit is a testable hypothesis, measured through accepted changes per developer hour and corrections after merge; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect repositories, voice task descriptions, tickets, meeting recordings and API credentials, then follow this sequence: 1. Capture voice task descriptions with reviewable transcription. 2. Generate code from instructions against the connected repository. 3. Flag and help resolve coding errors. Resolve uncertain cases with qualified reviewers, approve reviewable, production-ready updates linked to their source, and measure accepted changes per developer hour and corrections after merge against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One connected repository and one approved model set; final merge, deployment and security decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve code ownership, source attribution, license accuracy and usage permissions. Engineering owners approve substantive changes and deployment scope. One connected repository and one approved model set; final merge, deployment and security decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One connected repository and one approved model set; final merge, deployment and security decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: capture voice task descriptions with reviewable transcription; generate code from instructions against the connected repository. Support the third module with operator review: flag and help resolve coding errors. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Team-owned repositories, authorized tickets and permitted meeting recordings. Cloud code storage, CI/CD import/export and deployment destinations. Start with file exchange and validate destination specifications before promising direct deployment. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Task intake and voice capture, Agent run and diff review, Admin console and audit. Use a queue of tasks with owner and state, a large central diff and transcript view, and a right-hand panel for sources, confidence and comments. Let users compare agent versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant file or transcript line. Make the task-specific outcome reviewable, production-ready updates linked to their source visible beside its evidence, review state and value baseline.
