Systems | Development | Analytics | API | Testing

Why Deployment Flexibility Matters for Enterprise Software

Choosing a software deployment model for modern organizations is complex. Regulatory compliance, data privacy, security, and operational overheads are just some of the factors that need to be considered. These factors can also change over time for reasons ranging from the introduction of new government regulations, to changing business models, to business expansion to new geographies, and more.

Maintaining compliance when adopting AI in regulated industries

Key Takeaway: Organizations in regulated industries can adopt AI without compromising compliance. Automated testing enables continuous validation of AI-enabled systems while maintaining the predictability, documentation, and audit-readiness that regulators require. In compliance-first industries, such as banking, healthcare, or telecommunications, AI adoption is rarely a simple technology decision. You are often caught between two competing pressures.

Designing Unified APIs for Customer UIs & Internal Tools with Clean Permissions | DreamFactory

A unified API serves both external users and internal operators from one contract while enforcing different capabilities and data scopes. It centralizes authentication, authorization, validation, and auditing so every consumer follows the same rules. DreamFactory defines this as one surface with segmented access aligned to jobs-to-be-done. The goal is consistent behavior across channels, fewer duplicated services, and easier change management.

In the Context Economy, Context is King

Gartner published a report last week that I think marks a genuine inflection point for how enterprise technology leaders should think about AI strategy. The headline finding: we have crossed a threshold where competitive advantage in the AI era is no longer about access to data — it's about the semantic intelligence wrapped around it. Gartner calls this the "context economy," and they believe it will reshape how software is built, sold, and monetized over the next several years. I agree.

Gartner Just Described the Platform Enterprises Need to Compete in the Context Economy, Kong Already Built It

A Response to Gartner’s Latest Research Last week, Gartner published a report titled MCP Servers Will Fuel the Next AI Revenue Surge — Context as a Service (1) that should be required reading for every enterprise technology leader. Then, Kong CEO Augusto Marietti (Aghi for short) wrote out his thoughts on the subject and why context is king. I’d like to continue that conversation.

EP 19: Demystifying Agents

In this episode, *Dr. Sanjiva Weerawarana* and *Asanka Abeysinghe* demystify what “agents” really are and why architects should care. They walk through core concepts and terminology—agents, agent loops, prompts, context, memory, RAG, tools, MCP, and skills—and discuss how agents observe, act, and evaluate. The conversation compares agents to traditional systems, explores where agents fit in modern architectures (including solo agents, agent-to-agent patterns, and multi-agent setups), and looks at orchestration challenges.

Running OpenClaw Responsibly in Production | DreamFactory

OpenClaw adoption is accelerating fast, and so are the security incidents. Within two weeks of broad adoption, over 42,000 gateway instances were found exposed to the public internet with no authentication. Nearly all of them had authentication bypasses. Eight were completely open with full shell access. Meanwhile, 341 malicious skills were confirmed on ClawHub, and infostealers like RedLine and Lumma are already targeting OpenClaw installations to harvest API keys.

How to Build a Unified API Layer Across MySQL, Postgres & MongoDB with DreamFactory

This guide shows how to create a single API layer that joins data across MySQL, Postgres, and MongoDB using a federated query engine with an API gateway pattern. You will implement a hands-on build, see code samples, and review performance, security, and governance steps. DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough.
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Empowering Development Teams to Do Their Best Work

There is a seismic shift in software development with the advent of AI combined with the "shift left" movement. This leaves developers with competing priorities. Where AI is concerned, they are under pressure to get software to market faster. But as security requirements shift left, they are taking on more tasks and responsibilities than simply coding.