Internal Agents: When Your AI Makes a Mistake Inside the Business, You Still Own the Failure
The agentic AI conversation is too obsessed with the front door. Customer-facing agents get most of the attention because they are visible.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Beyond REST: AI Agent Integration through Model Context Protocol
Your users increasingly work through AI assistants. When they ask an agent to check a case status, analyze last quarter's metrics, or kick off an approval workflow, that agent needs to access your enterprise systems. Enabling that connection is the core challenge of AI agent integration: giving AI assistants the ability to discover, understand, and safely interact with business applications and data on behalf of users.
What It Takes to Build an AI Agent as a First-Class Product
In June 2026, the highest-grossing law firm in the world committed $500 million to build its own AI platform. The firm put more than 180 engineers and data scientists and over 250 of its lawyers on the effort. It chose to build because general-purpose tools could not execute their transactions or reason over their massive institutional knowledge. That is the bill for a first-class AI product built from scratch.
MCP vs REST APIs for Data Integration: When to Use Each
Your data integration team just asked: "Should we use MCP or REST APIs?" The answer is yes to both. With the ETL market reaching $10.24 billion in 2026 and projected to grow to $21.25 billion by 2031, understanding when to leverage each technology determines whether your AI agents can autonomously adapt to changing data needs or require manual code updates for every new integration.
The 7 Best Multi-Agent Software Development Tools in 2026
Artificial intelligence has become a standard part of software development. Most engineering teams now use AI to generate code, explain unfamiliar functions, write tests, or accelerate documentation. These capabilities have become widely available, and the underlying language models continue to improve at an impressive pace. But as organizations move beyond experimentation, many are discovering that code generation alone does not solve their biggest engineering bottlenecks.
Conversational analytics in BigQuery brings trusted agentic reasoning to everyone
Use Conversational Analytics in BigQuery to query data, run analyses, and generate reports using natural language on data in BigQuery and Lakehouse.
AI writes code faster than you can review it
The real bottleneck is knowing what to build before you start. Pro tip from Senior Software Engineer Josh Ellis: treat every AI agent every AI agent like a junior dev he's onboarding: define the what, the how, and the hard limits upfront. The plan drives the output, not the other way around.
You can't build AI in a walled garden
As software vendors place more controls around data access, enterprises must decide whether their future AI capabilities will be defined by their strategy or their vendors' policies.
Qlik Named a Leader. Again. For the 16th Year. For Us, AI Was Never an Afterthought.
We are excited to share that Qlik has been recognized as a Leader in the 2026 Gartner Magic Quadrant for Analytics & Business Intelligence Platforms, recognized for both our Completeness of Vision and Ability to Execute. Download the complimentary report here. Sixteen years. Our Sweet Sixteen, if you're counting. I'd argue it's less a milestone for us and more a proof point.
Where AI Capital Is Flowing: Insights From The Snowflake-Crunchbase Report
At Snowflake Summit 2026, Gene Teare from Crunchbase and Harsha Kapre, Director at Snowflake Ventures, discuss their joint report examining AI investment trends and capital formation in the data ecosystem. Learn how the market has evolved from 2021's broad exuberance to concentrated investment in AI-ready infrastructure, governance, and agentic applications. Discover what signals indicate a startup is truly enterprise-ready versus experimental, and explore the next phase of capital formation in the agentic AI economy.