PostgreSQL development goes far beyond writing and executing queries. It involves optimizing queries for minimal resource usage, refactoring code and managing database objects such as functions, procedures and triggers. These tasks require time, attention to detail and a solid understanding of SQL. Equally important is having the right PostgreSQL development tools to help you work efficiently and maintain the high quality of your output.
In this article, we'll explore how an IDE like dbForge Studio for PostgreSQL and its integrated AI Assistant can support your entire development workflow, from writing and refining SQL to debugging issues and improving query performance. You'll see how the Studio's built-in development tools help you get cleaner, more efficient database code. What's more, the recent dbForge 2026.2 release adds a range of new features focused on PostgreSQL and a variety of related cloud services.
Let's take a closer look.
Build PostgreSQL functions, procedures and triggers
Creating and editing server-side PostgreSQL objects often involves more than crafting SQL statements. Functions, procedures and triggers help you form business logic, automate database operations and maintain data consistency. With dbForge Studio for PostgreSQL, you can handle these objects using dedicated visual editors, which makes routine database development more structured and convenient than working exclusively with raw SQL scripts.
dbForge Studio provides all you need to develop PostgreSQL functions and procedures, allowing you to define parameters, write logic and manage database operations in one place. You can also work with PostgreSQL event triggers to respond to database-level events and automate administrative tasks when specific conditions are met.
When it comes to PL/pgSQL development, the Studio's visual object editors make it easier to create database objects while keeping the underlying SQL accessible. You can work with language constructs and data types, including %ROWTYPE, which lets you declare variables based on the structure of an existing table or view. You can also work with PostgreSQL composite types, which group multiple fields into a single data type. The goal is to help you build maintainable logic and reduce manual coding where possible.
Debug PostgreSQL functions and procedures
Debugging server-side PostgreSQL code can be challenging, especially when a function or procedure produces unexpected results or fails under specific conditions. While logs and RAISE NOTICE statements offer a glimpse into what happens during execution, they often require extra code changes and repeated test runs to isolate the root cause.
This is where dbForge Studio comes into play with a built-in PostgreSQL Debugger that lets you investigate functions and procedures directly. You can step through code execution, set breakpoints and inspect variables to understand how your code behaves at different stages. This makes it easier to trace execution paths, identify incorrect values and pinpoint the source of an error without relying exclusively on messages printed to the output.
By debugging PL/pgSQL code interactively, you can test assumptions, examine how parameters and variables change during execution and resolve issues more efficiently. The result is a simpler debugging workflow that reduces troubleshooting time and makes PostgreSQL functions and procedures easier to maintain.
Debug PL/pgSQL with breakpoints and step-through execution
When a PostgreSQL function or procedure behaves unexpectedly, finding the exact cause can take time if you rely only on logs or RAISE NOTICE statements. dbForge Studio simplifies this process with interactive debugging tools that let you examine PL/pgSQL code as it runs.
You can set breakpoints on specific lines to pause execution at critical points, then step through the code statement by statement to follow the logic. This shows you which operations run, how execution flows through conditional branches and where actual behavior starts to differ from what you expect.
The Debugger also lets you inspect the values of variables and parameters during execution. You can check input arguments, monitor changes to local variables and examine intermediate results to identify incorrect values or unexpected conditions.
By combining breakpoints, step-by-step execution and live inspection of variables, you can narrow the problem down to the exact statement where incorrect behavior begins. This makes debugging complex PL/pgSQL functions and procedures more precise and reduces the need for repeated diagnostics-only edits.
Debug without manual pldbgapi configuration
Traditionally, debugging PostgreSQL functions and procedures could require additional setup, including configuring the pldbgapi extension before developers could start investigating server-side code. dbForge Studio simplifies this with a built-in PostgreSQL Debugger that does not require pldbgapi. Instead, it requires deploying its debug engine and having the dblink extension installed on the PostgreSQL server.
With the Debugger integrated directly into the IDE, you can start troubleshooting PL/pgSQL code without spending time preparing a separate debugging environment. Set breakpoints, step through statements, inspect variable values and pinpoint errors in one workspace, so you can stay focused on fixing code without switching context.
Generate and improve PostgreSQL code with dbForge AI Assistant
Recent advances in AI-powered database development boil down to a simple yet vital goal: save developers time and effort, reduce manual coding and deliver results faster without compromising quality. AI copilots have already become must-have features of the best PostgreSQL IDEs, and dbForge Studio is no exception. Its AI Assistant is well-versed in SQL and databases. Here's a brief overview of its capabilities.
| Feature | How dbForge AI Assistant helps you |
|---|---|
| Natural language to SQL | Describe a task in natural language and let the AI Assistant generate SQL queries based on your requirements. Then modify and run them in the Studio's built-in PostgreSQL query editor. |
| Database-aware query generation | Attach a database to provide schema context and help the Assistant produce more relevant code. The Assistant has no access to your actual table data. |
| SQL explanations | However complex or unfamiliar your SQL statement may be, the Assistant explains it in simple terms. It's ideal for quick investigations and for anyone actively learning SQL. |
| SQL optimization | The Assistant reviews existing queries and recommends optimizations to identify inefficiencies and improve execution. Select the code, ask the Assistant to optimize it, then review and apply the suggestions. |
| SQL troubleshooting | The Assistant can pinpoint potential issues in unverified SQL code and suggest possible fixes. |
| Error analysis | If a query fails, the Assistant inspects the error, explains it in detail and suggests a solution. |
| Attached documents | Attach requirements, specifications, instructions or technical documentation to AI conversations for extra context. |
| AI chat with web search | Ask anything about SQL development and databases in general. |
| Multiple models | The latest update lets you choose between models, including Claude Haiku 4.5, Claude Sonnet 4.6, Claude Sonnet 5, GPT-5.4 and GPT-5.6 Luna. |
All in all, dbForge AI Assistant complements the Studio's development and debugging tools rather than replacing them. It helps you move more efficiently from writing SQL to troubleshooting issues and refining database logic, while keeping you in control of your code.
How to debug PostgreSQL code in dbForge Studio
Let's walk through debugging a PL/pgSQL procedure in dbForge Studio for PostgreSQL. We'll keep it as simple as possible.
First, we compile the procedures and functions for debugging to provide the debug engine with the information it needs. Next, we double-click the procedure to open it in the editor and switch to the SQL tab. Then we insert breakpoints to pause execution and allow for deeper analysis.
The procedure requires parameter values to rebuild the schedule, so we enter them.
When we reach a function call, we can either step over it to run it and move to the next line or step into it to see what happens inside.
As we step into the function, we can check whether it processed the parameter values correctly by adding Watches: expressions that let us track values during debugging.
As debugging proceeds, we can observe how the values in the Watches window change.
Once the procedure runs to completion, we confirm that it generated schedule rows for the period we debugged. The number of rows should match the length of the period passed to the procedure. In our case, that's 35 rows for the period from 3/1/2026 to 4/4/2026.
The key advantage is that everything works together in one PostgreSQL IDE. You can move from generating code to investigating a problem and applying a fix without switching tools or losing the context of your work.
Final thoughts: Why use dbForge Studio with AI Assistant for PostgreSQL development?
Here's a recap of what dbForge Studio brings to your daily work with PostgreSQL databases:
- Less manual coding: Generate SQL and PL/pgSQL code from natural language prompts and refine the results with AI.
- Simpler server-side development: Create and edit functions, procedures and event triggers in dedicated visual editors instead of working with raw code all the time.
- Schema-aware AI: Give the AI Assistant real database context so it generates more relevant code and troubleshoots issues involving actual tables, columns and relationships.
- Easier learning: Get explanations of PostgreSQL code and guidance on database logic.
- Precise debugging: Use the built-in Debugger to find problems in your objects based on their actual behavior.
- One tool for everything: Move from code generation and visual object editing to debugging, troubleshooting and optimization without leaving your primary IDE.
The result is a streamlined and effective PostgreSQL development process that helps you ship a better product faster, with greater productivity and lower development and maintenance costs.
