Latest Articles

Context Engineering: The Missing Piece in Agentic Systems

Let's understand what context engineering is, its importance in agentic systems and how to use it to build efficient AI systems.

September 17, 2026

by Pavan Belagatti

CORE

· 2,981 Views

AI Architectures That Drive Real Business ROI

Practical guide to 5 AI architectures that drive business ROI: decision intelligence, personalization, single-agent, multi-agent, and autonomous systems.

September 17, 2026

by Ram Ghadiyaram

CORE

· 3,142 Views

The Trinity of Modern Data Architecture: Process Intelligence, Event-Driven Integration, and Trusted Agentic AI

Process intelligence, event-driven integration, and trusted agentic AI must be designed as one converged architecture for real business value.

September 16, 2026

by Kai Wähner

CORE

· 2,553 Views

Why Real-Time Data Pipelines Are Becoming the Foundation of Industrial AI

Real-time data pipelines enable trustworthy industrial AI through continuous context. They ensure the right data reaches the model at the right time.

September 16, 2026

by Ajay Kumar Govindaram

· 2,651 Views · 1 Like

The AI Evolution in Software Testing: A QA Manager's Blueprint for Staying Irreplaceable

While AI will revolutionize software testing, it doesn’t mean that qualified QA engineers will become unnecessary. Here's an action plan to stay relevant.

September 16, 2026

by Kiran Paul Kanikaram

· 2,348 Views · 1 Like

Event-Driven AI Systems With Kafka and Autonomous Agents

Kafka and autonomous agents enable scalable, event-driven AI systems with reliable orchestration, durable execution, and real-time enterprise decision-making.

September 16, 2026

by Uthej Mopathi

CORE

· 2,921 Views · 3 Likes

Architecting Production AI Across Clouds: Patterns That Decide System Survival

In production, enterprise AI rarely fails at the model. It fails in the architecture around it. Here are the cross-cutting patterns that work.

September 16, 2026

by VenkataSrinivas Kantamneni

· 2,598 Views

AI Transformations and Agile Transformations Rhyme

AI transformations repeat Agile’s mistakes, from top-down mandates to cost goals. The A3 Delegation System makes AI decisions visible at the workflow level.

September 16, 2026

by Stefan Wolpers

CORE

· 1,957 Views

Agentic Systems and Design Patterns

A complete, practical guide to agentic AI systems covering single versus multi-agent architectures and the six core design patterns.

September 16, 2026

by Ram Ghadiyaram

CORE

· 2,502 Views · 2 Likes

Policy-as-Code for AI Systems: Enforcing Governance at the Infrastructure Layer

The compliance policy existed. The model didn't care. Turning AI governance from a signed document into infrastructure gates nothing can bypass

September 16, 2026

by Anusha Mukka

· 2,437 Views · 2 Likes

Real-Time Vehicle Tracking With Neo4j, Databricks Lakebase, and OpenStreetMap

Build a real-time fleet operations dashboard using Neo4j Aura for the road network graph, Lakebase for live vehicle positions, and Lakehouse for historical analytics.

September 15, 2026

by Akmal Chaudhri

CORE

· 3,104 Views · 1 Like

Microsoft’s New AI Rules Say Models Must Never Resist Human Shutdown

Microsoft has drafted a “Humanist AI” code requiring future models to accept human shutdown, follow non-negotiable safety rules, and remain under control.

September 15, 2026

by Aminu Abdullahi

· 3,469 Views

Altman, Musk Back Amodei’s AI Warning: The Frontier May Be Moving Too Fast

Dario Amodei called for slower frontier AI development, with Sam Altman and Elon Musk signaling support amid growing concerns over safety and cybersecurity.

September 15, 2026

by Aminu Abdullahi

· 3,003 Views · 1 Like

Freshness Is the Missing SLO in Production Vector Search

Standard metrics can look healthy while an index still serves stale data, because freshness depends on the entire pipeline, not just query speed.

September 15, 2026

by Guru Hegde

· 2,235 Views

KV Cache vs Prompt Cache: What's the Difference, and How Are They Related?

KV cache avoids recomputing historical token states during generation, while prompt cache reuses identical prompt prefixes across requests to reduce latency and cost.

September 15, 2026

by Jake Tao

· 2,278 Views · 1 Like

Agentic System Design in Practice: The Technical Debt in Enterprise Agentic Systems

Only a small fraction of real-world agentic systems is composed of an agent or an LLM. The required surrounding infrastructure is vast and complex. Sounds familiar? It is.

September 15, 2026

by Aakanksha Joshi

· 2,373 Views · 1 Like

Everybody Wants to Be a Dev!

"With artificial intelligence, anyone can build an app without knowing how to code." Many times technology evolution has promised this. Is AI going to keep this promise?

September 15, 2026

by Andrea Chiarelli

· 1,932 Views · 1 Like

Small Language Models on Apple Silicon for Responsive AI Applications

Learn how Apple Silicon, Core ML, MLX, and Foundation Models enable fast, private, and responsive AI by running small language models directly on iOS and macOS devices.

September 15, 2026

by Uthej Mopathi

CORE

· 2,133 Views · 2 Likes

Distributing Massive AI Models With Network-Layer Multicast

This article explains why network-layer multicast solves the bottleneck, how it works in practice, and where it still falls short.

September 15, 2026

by Vijayananda jayaraman

· 1,704 Views · 3 Likes

dbt Meets Apache Flink: One Workflow for Data Engineers

dbt meets Apache Flink: one SQL workflow for data engineers across Snowflake, BigQuery, Databricks, and real-time streaming pipelines on Confluent Cloud.

September 15, 2026

by Kai Wähner

CORE

· 1,763 Views

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