Systems | Development | Analytics | API | Testing

FastAPI error handling: types, methods, and best practices

Errors and exceptions are inevitable in any software, and FastAPI applications are no exception. Errors can disrupt the normal flow of execution, expose sensitive information, and lead to a poor user experience. Hence, it is important to implement robust error-handling mechanisms in FastAPI applications. In this article, we will discuss the different types of FastAPI errors to help you understand their causes and effects.

Introducing Agent-Flavored Markdown (AFM): Natural Language Definitions for Framework-Agnostic AI Agents

Advances in large language models (LLMs) and their widespread accessibility have transformed both what software can do and how we build it. The use of LLMs has quickly evolved from simple single-turn interactions to AI agents that reason, use tools, manage state, and operate autonomously.

Modernizing Integration & API Management with Kong and PolyAPI

APIs and integrations are the foundation of the modern enterprise. Every organization needs to securely connect systems, move data, and automate workflows, all while maintaining control, visibility, and flexibility. Increasingly, those same APIs are also being consumed by AI-powered applications and agents that must interact safely with underlying business systems.

Secure AI at Scale: Prisma AIRS and Kong AI Gateway Now Integrated

In today's digital landscape, APIs are the backbone of modern applications, and AI is the engine of innovation. As organizations increasingly rely on microservices and AI-powered features, the API gateway has become the critical control point for managing traffic. But as LLM/GenAI and MCP requests flow through these gateways, they bring a new wave of security challenges.

Xcode 26.3 coding intelligence: First impressions

Senior & Staff engineers Ben Boral and Oliver Falvai from Bitrise discuss the initial impressions of the new coding intelligence features in the Xcode 26.3 Release Candidate. They have been experimenting with the new features - see what they think! Bitrise provides a full-stack, vertically integrated mobile DevOps solution that unites the tools, processes and testing frameworks engineering teams need to build best-in-class mobile experiences. Over 400,000 developers use Bitrise’s products: Bitrise CI, Build Cache, Release Management, and Insights.

Introducing Agent-Flavored Markdown (AFM): No Code, Portable AI Agents

Advances in large language models (LLMs) and their widespread accessibility have transformed both what software can do and how we build it. The use of LLMs has quickly evolved from simple single-turn interactions to AI agents that reason, use tools, manage state, and operate autonomously.

How to Connect LLM Chat and AI Agents to Enterprise Data Using Built-In MCP in DreamFactory

TL;DR: DreamFactory 7.4+ includes a built-in MCP (Model Context Protocol) server that lets you connect any LLM—ChatGPT, Claude, Perplexity, or custom AI agents—to your enterprise databases through governed, role-based APIs. Setup takes minutes: create an MCP service in the admin console, copy the OAuth credentials, and point your AI application to the generated endpoint.

Bitrise Build Cache: Xcode Setup & Configuration

Join Lex, a solution architect at Bitrise, for a demonstration on how to configure Xcode build cache and validate that the configuration has been done correctly. This video focuses on using the build cache with Bitrise CI, although the build cache also works with external CI. Bitrise, Xcode Build Cache, CI/CD, Continuous Integration, Mobile Development, Xcode 26, App Development, Build Optimization, Cache Warming, Workflow Configuration, iOS.