Agentplace

AI agent for software architecture consultancies

Your AI GitHub architecture guide. A codebase explained through its files.

Create an AI GitHub architecture guide with its own page and URL. Help your clients receive a repository architecture map with explanations linked to the files that support them through conversation.

Create my AI agent Explore the example

Source boundary, clarified through conversation.

BBranchpoint ArchitectureJJun's session

GitHub architecture guide preview

Jun's repository architecture map

Jun's sample architecture map is tied to one repository commit. The existing API path and proposed worker path remain separate.

Current API pathProposed worker pathVersion boundary
Current focusSource boundary

One selected commit

The details that change the result

01Source-linked path

Current API path

The sample route module calls the service layer, which reads through the repository adapter.

02Not established

Proposed worker path

The migration branch contains a worker entry point. Deployment wiring is not present in the inspected files.

03One source version

Version boundary

The report uses the selected commit and labels the proposed components as migration work.

Trace the data adapterCompare the migration branch
Ask about source boundary or add a detail
01

Your client starts a conversation.Your client clarifies source boundary.

02

The page becomes their result.The report updates with the answer.

Illustrative preview
Vlad Yanch

Template by Vlad Yanch

Updated

  • 10 minFirst demo
  • 2-3 hoursWorking agent
  • 1 clickPublish

Overview

An AI GitHub architecture guide gives your clients a repository architecture map with explanations linked to the files that support them. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the authorized GitHub repository, branch or commit, system question, and the part of the code to examine.

Your agent uses your architecture review method, evidence rules, diagram conventions, and GitHub connection. It asks the follow-up question that changes this result. Do you want the deployed branch or the proposed migration branch explained? The page keeps the relevant evidence, choices, and result together as the client responds.

Jun joins a project midway through a migration. The guide maps the selected branch and keeps old and proposed data paths separate.

Sell a repository architecture map with explanations linked to the files that support them as a defined digital service. Or include it in an existing engagement and offer a follow-up appointment with the result attached.

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What you get

AI GitHub architecture guide for software architecture consultancies

An AI GitHub architecture guide gives your clients a repository architecture map with explanations linked to the files that support them. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the authorized GitHub repository, branch or commit, system question, and the part of the code to examine.

Sell a repository architecture map with explanations linked to the files that support them as a defined digital service. Or include it in an existing engagement and offer a follow-up appointment with the result attached.

Ask the question that matters

Use the answers to determine which information belongs in this client's result.

Deliver the report

Keep source version, request path, uncertain connection visible alongside the explanation.

Continue the client service

Or include it in an existing engagement and offer a follow-up appointment with the result attached.

  • GitHub architecture guide
  • Source version
  • Request path
  • Uncertain connection
  • Text and voice interaction
  • Your own client URL

Do not invent infrastructure that the repository does not show. Publishing a document or opening a pull request is a separate configured action from generating the report.

Why it's the best fit

Why conversation matters for this service

Do you want the deployed branch or the proposed migration branch explained? That answer changes source boundary and the result your client receives.

Your agent uses your architecture review method, evidence rules, diagram conventions, and GitHub connection. It asks the follow-up question that changes this result. Do you want the deployed branch or the proposed migration branch explained? The page keeps the relevant evidence, choices, and result together as the client responds.

Your AI GitHub architecture guide

One specialist. The whole client experience.

 The extra workWith traditional tools

Websites, fixed-flow apps, and chat widgets.
01The client experience
Understand the real request

Ask about the authorized GitHub repository, branch or commit, system question, and the part of the code to examine. Use the answers to determine which information belongs in this client's result.
With traditional toolsA service description

A service page can describe GitHub architecture guide. The client still needs to resolve this question before receiving a useful result. Do you want the deployed branch or the proposed migration branch explained?
Keep revisions consistent

Jun joins a project midway through a migration. The guide maps the selected branch and keeps old and proposed data paths separate. The working result changes from mixed repository versions to one selected commit.
With traditional toolsA fixed form

A fixed form records the initial answer. Changing source boundary requires the affected sections and supporting records to be updated together.
Show the work and its sources

Present a repository architecture map with explanations linked to the files that support them. Keep source version, request path, uncertain connection visible alongside the explanation.
With traditional toolsA separate chat widget

A standalone chat can explain a topic. Delivering a repository architecture map with explanations linked to the files that support them also needs the source records, relevant tools, and a visible result the client can inspect.
02Everything that comes with your agent
Your service method

Use your architecture review method, evidence rules, diagram conventions, and GitHub connection.
With traditional toolsSeparate reference documents

The client or service team has to find the applicable rule and carry it into the result.
A useful follow-up

Do you want the deployed branch or the proposed migration branch explained? Preserve the client's answer with the result.
With traditional toolsAnother message exchange

The answer about source boundary may sit in a separate email or call note.
Connected delivery

Pass the completed report and its source context through your configured delivery process.
With traditional toolsManual transfer

Someone must assemble the result and its supporting detail before sharing it.

Some traditional tools offer individual capabilities. Agentplace brings them into one AI service. Connect the payments, calendar, phone, CRM, and follow-up channels you want to use.

How it works

Create your AI GitHub architecture guide

Start with one defined client service and test the choices that change its result. Test how the client changes mixed repository versions to one selected commit. The result should preserve the supporting context when it updates.

  1. 01

    Add your service knowledge

    Provide your architecture review method, evidence rules, diagram conventions, and GitHub connection. Include a representative client input and a completed report so the expected result is clear.

  2. 02

    Test the meaningful change

    Test the change from mixed repository versions to one selected commit. Check that the affected source boundary and its explanation update consistently. Do not invent infrastructure that the repository does not show. Publishing a document or opening a pull request is a separate configured action from generating the report.

  3. 03

    Publish your client agent

    Publish the agent at its own URL and share it with clients who need a repository architecture map with explanations linked to the files that support them. Configure GitHub and the delivery or follow-up connections that belong to your service.

Made for your kind of business

Built for software architecture consultancies

Software architecture consultancies

Offer a repository architecture map with explanations linked to the files that support them without rebuilding the same explanation for each client.

Client service leads

Resolve source boundary with the client and carry the source details into the existing service process.

Start with your specialtySoftware architecture consultanciesClient service teams

Your service, your starting point

Your method and source material

The service starts with your architecture review method, evidence rules, diagram conventions, and GitHub connection. Choose the relevant apps below and connect the accounts your agent should use.

Create my AI agent

GitHub

Read the selected repository commit. Connect the relevant account and choose which records and actions the agent can use.

Figma

Review shared interface designs and comments. Connect the relevant account and choose which records and actions the agent can use.

Asana

Create agreed project tasks for your team. Connect the relevant account and choose which records and actions the agent can use.

Notion

Use the client's requirements and documentation. Connect the relevant account and choose which records and actions the agent can use.

Calendly

Schedule a project scoping review. Connect the relevant account and choose which records and actions the agent can use.

Gmail

Deliver the agreed project plan. Connect the relevant account and choose which records and actions the agent can use.

Integrations

Tools your AI GitHub architecture guide can connect

Connect the tools you use to deliver this service. Your agent can use their records and actions while helping clients on its own page. Choose the relevant connections below and decide what it can read, create, or send.

  • GitHubRead the selected repository commit
  • FigmaReview shared interface designs and comments
  • AsanaCreate agreed project tasks for your team
  • NotionUse the client's requirements and documentation
  • CalendlySchedule a project scoping review
  • GmailDeliver the agreed project plan
Agentplace
Your AI
GitHub architecture guide

Your expertise.
Their personal result.
One connected service.

Start with your materials. Add the connections your client service needs.

Go further with 1,000+ integrations.

Agentplace connects to business tools through Composio's catalog of over 1,000 integrations. These six examples are a starting point. Choose the apps and actions your agent needs while clients keep working on its page.

Available connections depend on the app's API and your account permissions.

Browse the integration catalog

Connected agents

Connect to your ChatGPT or Claude agents

The client works with your Agentplace GitHub architecture guide. If you already use other agents or automations, connect only the supporting tasks that belong to this service.

A configured supporting workflow can read the selected repository commit, then trace relationships through source files. It returns its output to the client-facing agent for the same service.

Your clients Jun

One selected commit

One selected commit
Agentplace
Your AI
GitHub architecture guide

Your expertise.
Their personal result.
One connected service.

Your back-office agents
ChatGPT
Claude
  • Read the selected repository commit
  • Trace relationships through source files
  • Return the architecture map
Your client keeps working with the same AI GitHub architecture guide. Connected tools and agents return supporting results to that service.

A few things to know

AI GitHub architecture guide FAQ

What is an AI agent for GitHub architecture guide?

An AI GitHub architecture guide gives your clients a repository architecture map with explanations linked to the files that support them. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the authorized GitHub repository, branch or commit, system question, and the part of the code to examine.

What does the client receive?

A repository architecture map with explanations linked to the files that support them. Jun joins a project midway through a migration. The guide maps the selected branch and keeps old and proposed data paths separate. The example is fictional and illustrates the configured service rather than a live transaction.

What should I provide before launch?

Provide your architecture review method, evidence rules, diagram conventions, and GitHub connection. Define the expected inputs, the result format, and the questions that require more information. Test the service with mixed repository versions and one selected commit so the changed requirement is reflected throughout the result.

How does this differ from a form or chat widget?

Your agent uses your architecture review method, evidence rules, diagram conventions, and GitHub connection. It asks the follow-up question that changes this result. Do you want the deployed branch or the proposed migration branch explained? The page keeps the relevant evidence, choices, and result together as the client responds. The AI agent controls the whole result page, so the current report, supporting detail, and next question remain visible together.

Which tools can my AI agent connect?

GitHub can read the selected repository commit. Figma can review shared interface designs and comments. Asana can create agreed project tasks for your team. These are examples from Composio's catalog of over 1,000 integrations. Choose the relevant apps and account permissions for your service. Clients keep working with your AI agent on its own page.

What should this service not claim?

Do not invent infrastructure that the repository does not show. Publishing a document or opening a pull request is a separate configured action from generating the report.

Can this support my existing business model?

Sell a repository architecture map with explanations linked to the files that support them as a defined digital service. Or include it in an existing engagement and offer a follow-up appointment with the result attached.

Is the preview live?

No. The preview illustrates Jun's fictional experience. Your working agent needs your materials and the connections you choose. The displayed launch times are planning estimates for a demo and a configured service, not a delivery guarantee.

What platform does the AI GitHub architecture guide run on?

It runs on Agentplace. Agentplace is an AI agent platform where the agent gets its own page, talks to your visitors there, and carries the request through to the end instead of handing it to a form. You can open this template and change any step before you publish it.

AI GitHub architecture guide

Create your AI GitHub architecture guide.
A codebase explained through its files.

Help clients receive a repository architecture map with explanations linked to the files that support them using your method and chosen tools.

Create my AI agent