The Future of Software Engineering with AI Agents
SDLC agents with several roles. An attempt with Rivet (rivet.ironcladapp.com)

The Future of Software Engineering with AI Agents


Artificial intelligence (AI) is rapidly changing the way we live and work, and the field of software engineering is no exception. AI agents are being used to automate many of the tasks involved in software development, from writing code to testing and debugging.

In the future, AI agents are likely to automate even more of the software development process. This could lead to a situation where 90% of software development is automated, with only 10% of the work being done by human developers.

There are several reasons why AI agents are well-suited for software development. First, AI agents can learn from large datasets of existing software. This allows them to generate code that is similar to the code in the dataset, which can save developers a lot of time and effort.

Second, AI agents can be used to automate repetitive tasks, such as testing and debugging. This can free up human developers to focus on more creative and strategic work.

Third, AI agents can be used to generate new ideas and solutions. This can help developers to come up with more innovative software.

Of course, there are also some challenges associated with using AI agents in software development. One challenge is that AI agents can be expensive to develop and maintain. Another challenge is that AI agents can sometimes make mistakes, which can lead to bugs in software.

Despite these challenges, the potential benefits of using AI agents in software development are significant. By automating many of the tasks involved in software development, AI agents can help to make the process more efficient and productive. This could lead to a new era of software development, where human developers are freed up to focus on the most creative and challenging work.

Here are some specific examples of how AI agents are being used to automate software development:

  • Code generation: AI agents can be used to generate code from natural language descriptions. This can be useful for generating prototypes or for generating code that is tailored to specific user needs.
  • Testing: AI agents can be used to automate the testing of software. This can free up human developers to focus on other tasks, such as design and implementation.
  • Debugging: AI agents can be used to find and fix bugs in software. This can help to improve the quality of software and reduce the time it takes to release new features.
  • Deployment: AI agents can be used to deploy software to production. This can help to ensure that software is deployed correctly and that it is available to users when they need it.

These are just a few examples of how AI agents are being used to automate software development. As AI technology continues to develop, we can expect to see even more innovative ways to use AI to automate the process of software development.

The future of software engineering is bright. With the help of AI agents, software developers will be able to create software more quickly, easily, and efficiently. This will lead to a new era of software development, where human developers are freed up to focus on the most creative and challenging work.


Show me the way!:

I used a chain of agents to mimic the SDLC for developing a CRM app and the results are groundly amazing. I entered only this input as 1st step:

"CRM based on python"        

Then the agents started to do the work. After couple of minutes, come the following results:

Requirements Engineer

Purpose:
The purpose of the CRM (Customer Relationship Management) software application/system is to help businesses manage their interactions and relationships with customers, improve customer satisfaction, and streamline sales and marketing processes.

Features:
1. Contact Management: The CRM system will allow users to store and manage customer contact information, including names, phone numbers, email addresses, and other relevant details.

2. Lead Management: Users will be able to track and manage potential customers (leads), including capturing leads' contact information, tracking their progress through the sales pipeline, and assigning follow-up tasks.

3. Sales Pipeline Management: The CRM will provide a visual representation of the sales pipeline, allowing users to track deals at various stages (e.g., prospecting, negotiation, closed-won, closed-lost). It should also support adding notes, assigning tasks, and setting reminders for each deal.

4. Customer Communication: The CRM will facilitate communication with customers through various channels, such as email integration, SMS, and in-app messaging. It should log all communication history for reference.

5. Task and Activity Management: Users will be able to create and assign tasks related to customer interactions, such as follow-up calls, meetings, and demos. The CRM should provide reminders and notifications for upcoming tasks.

6. Reporting and Analytics: The system will generate reports and provide analytics on various aspects, such as sales performance, customer engagement, and lead conversion rates. These insights will help businesses make data-driven decisions and identify areas for improvement.

User Interactions:
1. User Registration and Login: Users will need to register and create an account to access the CRM system. They will then log in using their credentials to access their personalized dashboard.

2. Dashboard: Upon logging in, users will be presented with a dashboard that provides an overview of key metrics, upcoming tasks, and recent activities. It should also provide quick access to different modules and features of the CRM.

3. Contact and Lead Management: Users will be able to add, edit, and delete contacts and leads. They can search and filter contacts based on specific criteria and view detailed information about each contact/lead.

4. Sales Pipeline Management: Users will be able to view and manage deals in the sales pipeline. They can update the status of deals, add notes, and assign tasks. The system should provide a visual representation of the pipeline, allowing users to easily track progress.
        

DevOps Engineer (Server preparation)

```bash
#!/bin/bash

# Update the system
apt-get update
apt-get upgrade -y

# Install necessary packages
apt-get install -y python3-pip python3-venv

# Install Ansible
pip3 install ansible

# Set up SSH keys
mkdir -p ~/.ssh
chmod 700 ~/.ssh
ssh-keygen -t rsa -b 4096 -f ~/.ssh/id_rsa -N ""

# Add SSH keys to authorized_keys file
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
chmod 600 ~/.ssh/authorized_keys

# Disable password authentication
sed -i 's/#PasswordAuthentication yes/PasswordAuthentication no/g' /etc/ssh/sshd_config
service ssh restart

# Create an ansible user and add to sudoers
useradd -m -s /bin/bash ansible
echo "ansible ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers

# Configure sudo to require a password
sed -i 's/^Defaults\s\+env_reset$/Defaults env_reset,pwfeedback/g' /etc/sudoers

# Set up the ansible user's SSH keys
mkdir -p /home/ansible/.ssh
chmod 700 /home/ansible/.ssh
cp ~/.ssh/id_rsa.pub /home/ansible/.ssh/authorized_keys
chmod 600 /home/ansible/.ssh/authorized_keys
chown -R ansible:ansible /home/ansible/.ssh

# Disable root SSH login
sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin no/g' /etc/ssh/sshd_config
service ssh restart

# Firewall setup (optional)
apt-get install -y ufw
ufw default deny incoming
ufw default allow outgoing
ufw allow OpenSSH
ufw --force enable

# Reboot the server
reboot
```

-------

- name: Prepare Debian server for Docker containers
  hosts: your_server_hostname
  become: yes  # To execute commands as root

  tasks:
    - name: Update apt package cache
      apt:
        update_cache: yes

    - name: Install required packages
      apt:
        name: "{{ item }}"
        state: present
      loop:
        - apt-transport-https
        - ca-certificates
        - curl
        - software-properties-common
        - python3-pip  # Required for Python container

    - name: Add Docker GPG key
      apt_key:
        url: https://download.docker.com/linux/debian/gpg
        state: present

    - name: Add Docker APT repository
      apt_repository:
        repo: deb [arch=amd64] https://download.docker.com/linux/debian {{ ansible_distribution_release }} stable
        state: present

    - name: Install Docker
      apt:
        name: docker-ce
        state: present

    - name: Install Docker Compose
      pip:
        name: docker-compose
        executable: pip3

    - name: Create a Docker network for microservices
      docker_network:
        name: my_app_network

    - name: Create a Docker container for data analysis (Python)
      docker_container:
        name: data_analysis_container
        image: python:3.8-slim
        state: started
        detach: yes
        networks:
          - name: my_app_network

    - name: Create a Docker container for core app functionality (PHP)
      docker_container:
        name: core_app_container
        image: php:7.4-apache
        state: started
        detach: yes
        networks:
          - name: my_app_network

- name: Copy Python code to data analysis container
  docker_copy:
    src: /path/to/python/code
    dest: /app
    container: data_analysis_container

- name: Copy PHP code to core app container
  docker_copy:
    src: /path/to/php/code
    dest: /var/www/html
    container: core_app_container
        

Software Engineer

// Contact Management
class Contact {
  constructor(name, phoneNumber, email) {
    this.name = name;
    this.phoneNumber = phoneNumber;
    this.email = email;
  }
}

class ContactManager {
  constructor() {
    this.contacts = [];
  }

  addContact(contact) {
    this.contacts.push(contact);
  }

  editContact(contact, newName, newPhoneNumber, newEmail) {
    contact.name = newName;
    contact.phoneNumber = newPhoneNumber;
    contact.email = newEmail;
  }

  deleteContact(contact) {
    const index = this.contacts.indexOf(contact);
    if (index !== -1) {
      this.contacts.splice(index, 1);
    }
  }

  searchContacts(criteria) {
    return this.contacts.filter(contact => {
      return (
        contact.name.includes(criteria) ||
        contact.phoneNumber.includes(criteria) ||
        contact.email.includes(criteria)
      );
    });
  }
}

// Lead Management
class Lead {
  constructor(name, phoneNumber, email) {
    this.name = name;
    this.phoneNumber = phoneNumber;
    this.email = email;
    this.status = "New";
  }
}

class LeadManager {
  constructor() {
    this.leads = [];
  }

  addLead(lead) {
    this.leads.push(lead);
  }

  editLead(lead, newName, newPhoneNumber, newEmail) {
    lead.name = newName;
    lead.phoneNumber = newPhoneNumber;
    lead.email = newEmail;
  }

  deleteLead(lead) {
    const index = this.leads.indexOf(lead);
    if (index !== -1) {
      this.leads.splice(index, 1);
    }
  }

  updateLeadStatus(lead, newStatus) {
    lead.status = newStatus;
  }

  searchLeads(criteria) {
    return this.leads.filter(lead => {
      return (
        lead.name.includes(criteria) ||
        lead.phoneNumber.includes(criteria) ||
        lead.email.includes(criteria)
      );
    });
  }
}

// Sales Pipeline Management
class Deal {
  constructor(name, amount, stage) {
    this.name = name;
    this.amount = amount;
    this.stage = stage;
    this.notes = [];
    this.tasks = [];
  }
}

class DealManager {
  constructor() {
    this.deals = [];
  }

  addDeal(deal) {
    this.deals.push(deal);
  }

  editDeal(deal, newName, newAmount, newStage) {
    deal.name = newName;
    deal.amount = newAmount;
    deal.stage = newStage;
  }

  deleteDeal(deal) {
    const index = this.deals.indexOf(deal);
    if (index !== -1) {
      this.deals.splice(index, 1);
    }
  }

  addNoteToDeal(deal, note) {
    deal.notes.push(note);
  }

  addTaskToDeal(deal, task) {
    deal.tasks.push(task);
  }

  searchDeals(criteria) {
    return this.deals.filter(deal => {
      return (
        deal.name.includes(criteria) ||
        deal.amount.toString().includes(criteria) ||
        deal.stage.includes(criteria)
      );
    });
  }
}

// Customer Communication
class Communication {
  constructor(type, content, contact) {
    this.type = type;
    this.content = content;
    this.contact = contact;
    this.timestamp = new Date();
  }
}

class CommunicationManager {
  constructor() {
    this.communications = [];
  }

  addCommunication(communication) {
    this.communications.push(communication);
  }

  searchCommunications(criteria) {
    return this.communications.filter(communication => {
      return (
        communication.type.includes(criteria) ||
        communication.content.includes(criteria) ||
        communication.contact.name.includes(criteria)
      );
    });
  }
}

// Task and Activity Management
class Task {
  constructor(description, dueDate, assignee) {
    this.description = description;
    this.dueDate = dueDate;
    this.assignee = assignee;
    this.completed = false;
  }
}

class TaskManager {
  constructor() {
    this.tasks = [];
  }

  addTask(task) {
    this.tasks.push(task);
  }

  editTask(task, newDescription, newDueDate, newAssignee) {
    task.description = newDescription;
    task.dueDate = newDueDate;
    task.assignee = newAssignee;
  }

  deleteTask(task) {
    const index = this.tasks.indexOf(task);
    if (index !== -1) {
      this.tasks.splice(index, 1);
    }
  }

  markTaskAsCompleted(task) {
    task.completed = true;
  }

  searchTasks(criteria) {
    return this.tasks.filter(task => {
      return (
        task.description.includes(criteria) ||
        task.dueDate.toString().includes(criteria) ||
        task.assignee.includes(criteria)
      );
    });
  }
}        
Selim Salman

Enterprise Software Architect - Digital Innovation Generalist

1 年
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