Jestor para Iniciantes: Aprenda Low-Code na Prática

Introduction to Low Code

What is Low Code?

• Low code is a development approach that allows users to create applications with minimal coding, enabling internal solutions for businesses without extensive programming knowledge.

• It offers more flexibility than no-code platforms, allowing integration with various systems, including legacy ones.

Benefits of Low Code

• The low code tools package includes multiple customizable features that can be utilized for different business needs.

• While some programming knowledge is beneficial, low code simplifies many complexities associated with traditional coding.

Learning and Support

Getting Started with Low Code

• Users are encouraged to learn the basics of low code to understand its application within their organization.

• The platform already has around 400 native automations and integrations available without needing programming skills.

Flexibility in Integration

Custom Integrations

• Low code provides the ability to integrate specific tools or systems not natively supported by the platform, enhancing operational flexibility.

• This eliminates the need for parallel services or complex infrastructure management typically required for integrations.

User Interface and Accessibility

Navigating the Platform

• Users can access low code features through a simplified interface focused on logic rather than infrastructure concerns.

• Access issues may arise from user permissions; members may need to be upgraded to builders for full functionality.

Understanding Tables and Databases

Database Management

• The low code area includes a section listing all databases and tables within the system, providing an overview of data management capabilities.

Automation Triggers

Disparadores (Triggers)

• A trigger automates actions based on events occurring in a table, such as creating or updating records.

• Users can choose when these automations run—before or after an event occurs—which affects how data is processed.

Functions vs. Triggers

Key Differences

• Functions require manual invocation while triggers automatically execute based on specified events.

• Understanding when to use each type is crucial for effective automation design.

Webhooks in Automation

Integrating External Systems

• Webhooks allow users to create endpoints that trigger automations when external systems send data, facilitating seamless integration between platforms.

Documentation and Resources

Learning Tools Available

• Comprehensive documentation exists in multiple programming languages (Python, .NET, PHP), aiding users in understanding methods available within low code environments.

Popular Programming Languages

Language Preferences

• Python is favored among users due to its popularity and ease of learning compared to other languages like PHP and .NET.

Practical Examples

Creating Automations

• An example involves creating a lead qualification process where leads are automatically classified based on their potential value using triggers.

Automating Lead Qualification Based on Potential

Understanding the Qualification Process

• The qualification process begins by checking if the potential value is greater than 5,000; if so, it qualifies the lead. If it's less than or equal to 5,000, the lead is marked as disqualified.

• Key variables in this automation include current data, before save, and after save. Current data represents user-submitted information during form creation.

• Before save refers to existing information saved prior to any modifications. After save captures changes made post-modification in the database.

Implementing Automation Logic

• In synchronous automation, changes made in before data will be saved. This highlights the importance of understanding these three states for effective automation.

• To utilize before save effectively, one can access table IDs through a user interface that displays available fields and their types for low-code implementation.

Coding for Qualification

• An example code snippet demonstrates how to set leads as qualified upon creation regardless of input values.

• It’s crucial to copy field names exactly as they appear in the system to avoid errors due to naming conventions or formatting issues.

Ensuring Consistency with Field IDs

Importance of Field ID Stability

• The field ID remains constant even if its name changes (e.g., from "qualification" to "status"), preventing disruptions in existing automations.

• When coding, using an array structure allows for organized handling of multiple values within a single field.

Testing Automation Functionality

• A test run shows that when a new lead is created without specifying qualification, it defaults to "qualified" based on pre-set code logic.

Conditional Logic Implementation

Using Conditional Statements

• An if statement checks whether potential is greater than or equal to 5,000; if true, it assigns "qualified," otherwise it should assign "disqualified."

• The code illustrates Python's syntax where indentation signifies block structures essential for proper execution.

Finalizing Automation Code

• After implementing conditions correctly, testing reveals that leads are appropriately classified based on their potential values.

Version Control and Creating New Tables

Managing Automation Versions

• Previous versions of automations are stored and can be reverted if needed. This feature aids in troubleshooting and refining processes.

Setting Up New Tables

• A new table named “low code opportunities” is created for managing leads transitioning into opportunities based on checkbox selections.

Checkbox Triggered Automations

Designing Checkbox Functionality

• An automation triggers when a checkbox is selected; this action moves qualified leads into the opportunities table while ensuring only valid entries are processed.

Handling User Input Validation

• Discussions around reusing functions highlight limitations regarding isolated trigger codes but suggest copying existing functions between different automations as a workaround.

Enhancing User Experience with Error Messages

Implementing User Feedback Mechanisms

• Synchronous automation ensures users receive immediate feedback via error messages when attempting invalid actions (e.g., sending disqualified leads).

Refining Record Creation Logic

• Adjustments ensure records are only created when specific conditions (checkbox state changing from false to true), preventing duplicate entries during updates.

Validating Lead Status Before Actions

Preventing Invalid Entries

• Additional validation checks confirm that only qualified leads can be sent forward into opportunity tables; otherwise an error message appears alerting users about disqualifications.

Demonstrating Successful Operations

• Tests show successful transitions from lead status updates into opportunity creation when criteria are met without errors occurring during processing.

Establishing Connections Between Tables

Creating User Responsibility Fields

• New fields allow assignment of responsible users within opportunity records while connecting them back to original lead sources enhances tracking capabilities.

Utilizing Unique Identifiers for Connections

• Each connection relies on unique numeric identifiers rather than names which may change over time ensuring stability across linked records.

Integrating External Data Through Webhooks

Setting Up Webhook Functions

• A function named “receive lead” processes incoming data via webhooks allowing external applications (like mobile apps).

Calculating Potential Values Dynamically

• Incoming monthly payment data gets converted into annual potential figures automatically creating corresponding lead records based on calculated values received through webhook interactions.

Understanding Low Code Consumption Metrics

Overview of Low Code Processing Metrics

• Discussion on the importance of understanding low code consumption metrics, particularly regarding processing time and memory usage.

• Clarification that consumption is measured in gigabytes per second, emphasizing that both data size and processing time impact costs.

• Mention of using "slips" in coding, which can significantly increase processing time and thus consumption metrics.

Efficiency in Low Code Development

• Explanation of how efficient code minimizes memory usage and processing time, leading to lower costs.

• Importance of monitoring consumption through reports to optimize functions and identify high-consumption areas.

Analogies for Better Understanding

• Comparison between low code consumption metrics and electricity bills, where longer automations consume more resources similar to appliances running continuously.

• Example provided about a specific automation consuming minimal resources (0.001 GB), highlighting the efficiency of low code solutions.

Best Practices for Resource Management

• Caution against unnecessary slips in automation as they lead to wasted resources without productive output.

• Encouragement to consult with the team for tips on optimizing low code usage effectively.

Future Learning Opportunities

• Information about available plans with different resource limits; current plan offers 250 units by default.

• Invitation for further inquiries into low code practices, suggesting potential live sessions focused on practical applications and complex integrations.