Systems | Development | Analytics | API | Testing

Is AI dashboard a dead end? Here's what a real analytics platform actually does

Here’s a question worth taking seriously if you are a BI practitioner: if I can describe what I want to an LLM and have a working dashboard in under a minute, what exactly am I paying for with a purpose-built analytics platform like Yellowfin? It is a fair challenge.

Best tool for AI-powered automated testing: Reflect vs. ACCELQ

If you’re shipping multiple releases weekly and your team is drowning in test maintenance, you’ve likely discovered the painful truth about traditional automation: code-heavy frameworks break faster than your developers can ship features. Every CSS class rename triggers test failures. Every component refactoring creates maintenance sprints.

Beyond the Single Payment Provider Lock-in: How Kong Enables Multi-Rail Billing for the AI Era

The recent article on OpenAI overhauling its payment systems to reduce its dependency on Stripe highlights an important tension many digital platform builders face today: how to balance usage-based monetization with the realities of payments infrastructure dependency.

5 Best AI Penetration Testing Companies in 2026

Penetration testing has moved far beyond periodic security assessments and compliance-driven engagements. Modern enterprise environments change continuously. Cloud infrastructure evolves daily, identity permissions expand organically, and internal services become externally reachable through configuration rather than code. In parallel, attackers operate persistently, using automation to probe environments until exploitable paths emerge.

How to make APIs AI-ready | Automating reviews with Swagger Studio & Spectral

As AI agents increasingly interact with APIs, design clarity and structured metadata matter more than ever. In this focused demo, Senior Solutions Engineer Mairtín Conneely take us through how to use Spectral rulesets in Swagger Studio to automatically enforce AI-ready API design standards across your OpenAPI definitions. This video covers:What “AI-ready” API design meansCreating custom Spectral rulesImporting governance rules into Swagger StudioRunning automated AI-readiness checksScaling API quality with governance automation.

Is Prompt Engineering Dead? Here is the Reality... #promptengineering #generativeai #llm #ai

Remember the ‘Prompt Engineer’ hype? It’s died down, but prompts are still the heart of AI. They shape an LLM’s personality and focus by guiding its vast knowledge. Curious how these system prompts fit into complex, multi-agent enterprise systems? Listen to the complete breakdown in *EP 19: Demystifying Agents*

With AI coding, the delivery pipeline is the new bottleneck - and we already solve it

For fifty years, the hardest part of software was writing it. That's no longer true. In 2025, AI coding assistants went mainstream — 90% of developers now use them (DORA 2025). Then came background agents: autonomous systems that take a ticket, write the code, run the tests, and open a pull request while the engineer sleeps. Stripe merges over 1,000 AI-written PRs per week. Ramp reached 30% AI-authored PRs within two months. Spotify has merged 1,500+ agent-generated PRs into production.

Ep 63 | Open Lakehouse Architecture: How to Scale AI to Production

Open lakehouse architecture is becoming the foundation for production AI and enterprise AI at scale. In this episode of The AI Forecast, Dipankar Mazumdar, Director of Developer Relations at Cloudera and co-author of the book “Engineering Lakehouse with Open Table Formats,” joins Paul Muller to explain why open lakehouse architecture is critical for moving from AI pilot to production AI.