Latest Articles

Databricks Lakebase: Give Your Agent a Branch, Not Your Production Database

Databricks Lakebase introduces database branching, giving each agent an isolated workspace to safely experiment, test changes, and merge validated updates.

September 8, 2026

by Jubin Soni, FBCS

CORE

· 1,718 Views

Architecting Trust: Agentic Microservice Testing Strategies in the Era of Non-Deterministic AI

Learn how to test, monitor, and deploy reliable agentic AI and multi-agent systems in enterprise environments using modern testing and CI/CD strategies.

September 8, 2026

by Viquar Khan

CORE

· 2,517 Views

Prevent Duplicate API Calls With Idempotency: Patterns That Work

A timeout doesn't prove failure. Reserve an Idempotency-Key before any side effect, back it with a unique DB index, and replay the recorded outcome on every retry.

September 8, 2026

by Manjeera Chanda

· 1,680 Views · 1 Like

Your Email Security Is a DNS Configuration Problem

Every email authentication control is really a DNS record, so most email security failures are DNS mechanics, not protocol misunderstandings.

September 8, 2026

by Vadim Ivanov

· 1,736 Views

Dynamic Tool Selection: A Portable Pattern for Agents Drowning in Tool Schemas

Past ~20-30 tools, sending every schema every turn hurts cost and accuracy. A lexical scorer plus a registry-search hatch fixes most of it — no embeddings needed.

September 7, 2026

by Ninaad Rao

CORE

· 1,902 Views · 2 Likes

Select AI and Vector Search on a Legacy Oracle Schema: What It Actually Takes

DBAs and developers managing Oracle schemas want to understand what integrating Select AI and vector search entails before applying it to critical systems.

September 7, 2026

by arvind toorpu

CORE

· 1,884 Views · 1 Like

Teaching an LLM Your Schema's Rules: Inside Jailer's AI Subsetting Assistant

How a database subsetting tool turned a plain-English request into a reviewable, undoable extraction model — instead of just another SQL-generation chatbot.

September 7, 2026

by Ralf Wisser

· 1,746 Views · 1 Like

Building an AI Incident Response Runbook: What Engineering Teams Should Do in the First 24 Hours

AI incidents don't follow the security playbook: no CVE, no patch, and evidence that vanishes in minutes unless you've planned ahead.

September 7, 2026

by Yuliia Harkusha

· 6,871 Views · 2 Likes

DORA Metrics Assume Your CI Pipeline Is Telling the Truth. What If It Is Not?

When mock files drift from current service behavior, DORA metrics underreport failures. Deployment rework rate is the metric that shows what change failure rate missed.

September 7, 2026

by Sancharini Panda

· 1,457 Views · 1 Like

Exploration vs Exploitation: Why It Matters and the Engineer’s Role

Learn how engineering teams can balance exploration and exploitation to drive innovation while building reliable, scalable, and maintainable systems.

September 7, 2026

by Yogeshwar Srikrishnan

· 1,734 Views · 1 Like

How Performance Engineers Find and Fix Hidden System Bottlenecks

Performance engineers diagnose end-to-end bottlenecks using data over intuition, turning hours of system delays into smooth, efficient execution.

September 7, 2026

by Alex Vakulov

CORE

· 2,349 Views · 1 Like

How to Design a Multi-Agent AI Framework in Python for Enterprise LLM Workflows

Learn how to build a production-ready multi-agent AI framework in Python that improves reliability, reduces hallucinations, and scales enterprise LLM workflows.

September 7, 2026

by Chidiebere Njoku

· 2,296 Views · 2 Likes

This $5,000 Berkeley Humanoid Can Be Built With a Desktop 3D Printer

UC Berkeley's open-source Humanoid Lite costs under $5,000 and uses 3D-printed parts, opening humanoid robotics to more researchers and students.

September 4, 2026

by Aminu Abdullahi

· 3,176 Views

Prompting AI for Analytics: The Missing Optimization Layer Between Your Question and the Model

A practical blueprint for cutting AI token costs in analytics — clean up the question before it reaches the model, then learn from what worked.

September 4, 2026

by Dinesh Pamcheti

· 2,483 Views

Multilingual Conversational Payments Chatbot Architecture: Enterprise RAG With Safety Guardrails, Human Handoff, and Multi-Modal Support

A retrieval-augmented generation (RAG) pipeline that grounds LLM responses directly in your website/document content to prevent hallucinations.

September 4, 2026

by Sriram Ramakrishnan

· 2,607 Views · 1 Like

Handling Large API Responses Without Freezing the Client: A Practical Architecture With Temporal, Kafka, and RAG

Use Temporal for orchestration, Kafka for chunk processing, object storage for payloads, and RAG to retrieve relevant data without overwhelming clients.

September 4, 2026

by Uthej Mopathi

CORE

· 2,746 Views · 2 Likes

Building Agentic RAG, Step by Step: From Static Retrieval to Reasoning Pipelines

Build an agentic RAG system that plans retrieval, grades results, reformulates queries, and self-checks answers to improve grounding.

September 4, 2026

by Balaji Venkatasubramaniyar

CORE

· 2,778 Views · 1 Like

MCP for Enterprise Tasks: Making the Rare Frequent Enough to Master

Agentic clients via MCP are a new human interface to old software. They are an appealing choice: they use native language. But it is not always the wise approach.

September 4, 2026

by Peter Verhas

CORE

· 2,440 Views · 1 Like

Why I Don't Want an LLM Generating Java Business Logic

Why do you need a DSL when an LLM generates business logic more than ever? To limit what generated code can do with allow-lists, not deny-lists.

September 4, 2026

by Peter Verhas

CORE

· 3,108 Views · 1 Like

Video and Audio as Knowledge Sources: Content Understanding in Microsoft Foundry IQ

Turn video and audio recordings into searchable, citable knowledge for Microsoft Foundry IQ using Azure Content Understanding, MarkItDown, and structured metadata.

September 4, 2026

by Jubin Soni, FBCS

CORE

· 2,053 Views · 2 Likes

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