From requirement to release: analysis, design, code, tests, security and deployment.
The AI Software Development Team covers the whole delivery chain. A Business Analyst turns requests into requirements, a Product Manager writes the stories, a Solution Architect designs the change, a UI/UX Designer and Frontend and Backend Developers build it, a QA Engineer and a Security Reviewer check it, and a DevOps Engineer ships it. The developers are coding agents in AIAgentLayer’s Agentic IDE, such as Claude Code, Codex and Gemini, working in your repositories.
What you get
Features move from request to staging with every role covered.
Every change is reviewed, tested and security-checked before release.
Engineers spend their time on architecture and decisions.
In parallel: QA ran 48 test cases and Security reviewed auth and personal data.
7
Buddy → DevOps Engineer
All checks passed. DevOps deployed to staging and ran the smoke tests.
8
Buddy → You
Buddy asked you to approve the production release.
Your approval comes last
Approve release 2.14 to production
The problem
What gets in the way today
Requirements get lost between the business, product and developers.
Senior engineers spend their days on reviews, tests and release chores.
Security checks and tests are cut when the deadline is close.
One AI coding assistant still needs a person to plan and connect every step.
Why a team
Why organisations need this now
Coding assistants made single tasks faster, but a feature still needs analysis, design, tests, security and a release. An AI team runs the whole chain with clear roles and reviews, and your engineers lead it.
What changes
Features move from request to staging with every role covered.
Every change is reviewed, tested and security-checked before release.
Engineers spend their time on architecture and decisions.
Meet the team
One lead, 9 specialists
Every agent has one clear role, its own skills and the tools it is allowed to use.
Team lead
Buddy · Engineering Lead
Plans the release and keeps every role moving. Buddy splits your goal into tasks, assigns each one to the agent whose role fits, reviews the results, sends rework and reports back. Anything risky waits for approval from the product owner.
Available now
Business Analyst
Available now
Turns requests, tickets and calls into clear requirements.
Works with
Jira, Linear, Asana
Confluence, Notion
Email
Product Manager
Available now
Writes user stories and acceptance criteria, and manages the Architect’s work.
Works with
Jira, Linear
Planning skills
Solution Architect
Available now
Designs the change: APIs, data model and how it fits the system.
Works with
GitHub, GitLab
Agentic IDE
Diagrams
UI/UX Designer
Available now
Designs the screens and flows, and hands them to the Frontend Developer.
Works with
Figma
Design guidelines
Frontend Developer
Available now
Builds the user interface from the design.
Works with
Agentic IDE: Claude Code, Codex, Gemini
GitHub, GitLab
Backend Developer
Available now
Builds the APIs, data changes and integrations.
Works with
Agentic IDE: Claude Code, Codex, Gemini
GitHub, GitLab
QA Engineer
Available now
Writes and runs the test cases, and reports what fails.
Works with
Agentic IDE
Browser testing
CI results
Security Reviewer
Available now
Reviews code and settings for security and privacy problems.
Works with
devops-security
Code review
DevOps Engineer
Available now
Runs CI/CD, deploys to staging and production, and watches the release.
Works with
DevOps agent and skills
AWS, Azure, Google Cloud, Vercel
Business workflows
How the work moves through the team
Each result goes back to Buddy, who checks it and hands the next task to the right agent. Steps that do not depend on each other run at the same time.
Scenario 1
Feature from request to release
Starts with: A product request in Jira
1
Business Analyst
Collects the rules from tickets and notes.
2
Product Manager
Writes stories, then assigns the design to the Architect.
3
Frontend and Backend Developers
Build in parallel in the Agentic IDE, and review each other’s changes.
4
QA Engineer and Security Reviewer
Test and review before anything merges.
5
DevOps Engineer
Deploys to staging and asks for the production go-ahead.
A tested, reviewed feature, with one approval from you.
Scenario 2
A production bug
Starts with: An alert or a customer ticket
1
QA Engineer
Reproduces the bug and writes a failing test.
2
Backend Developer
Fixes it, and a second coding agent reviews the fix.
3
DevOps Engineer
Ships the patch and watches the error rate.
A fix with a test that keeps it fixed.
Scenario 3
Keeping the codebase healthy
Starts with: A weekly routine
1
Security Reviewer
Scans dependencies and settings.
2
DevOps Engineer
Checks pipeline health and cloud cost.
3
Buddy
Opens tickets for what needs a person.
Small problems are fixed before they become incidents.
1
Buddy plans
Your goal becomes tasks, each with an owner.
2
Agents work in parallel
Busy agents queue tasks; nothing is dropped.
3
Reviewed and approved
Buddy checks every result. You approve what matters.
Business benefits
What the software development team gives you
Less routine engineering
Stories, tests, reviews and release chores are done by the team.
Faster delivery
Design, frontend and backend work run in parallel, not one after another.
Quality on every change
Every change is tested and reviewed by a second agent before it merges.
Better technical decisions
The Architect writes down options and trade-offs for your engineers to choose.
Senior people on the hard parts
Your engineers lead the team and review, and stop doing chores.
Every step visible
Tickets, commits, test runs and approvals are all in one log.
What is available today
What ships now, and what you connect
Capabilities of the AI Software Development Team and their availability
Capability
Status
How
Coding agents working as one team
Available now
Agentic IDE team threads with Claude Code, Codex and Gemini.
Repositories, tickets and docs
Available now
GitHub, GitLab, Jira, Confluence, Linear, Asana and Notion connectors.
Design handoff
Available now
Figma connector.
CI/CD, cloud and security skills
Available now
DevOps agent with CI/CD, containers, IaC, observability and security skills.
Production deploys
Available now
AWS, Azure, Google Cloud and Vercel, with your approval.
Your own internal tools
Connect your system
Through an MCP server or an API.
Available now
Ships in AIAgentLayer today: built-in skills, connectors, the Agentic IDE and team leads.
Connect your system
Works once your system is connected, through an MCP server, MQTT or Kafka events, an API or AIERPLayer.
Rolling out
Built and being rolled out. Ask us for the current status.
Put the software development team to work
Start with one team and one workflow. Download AIAgentLayer free, or book a demo and we will map your process to an agent team with you.
