The Latest and Popular SDLC Topics

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

· 3,350 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

· 2,807 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

· 2,071 Views · 1 Like

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

· 2,801 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

· 2,583 Views · 2 Likes

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

· 3,558 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

· 3,088 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

· 2,450 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

· 2,256 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

· 1,770 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

· 1,866 Views

How I Built a Storage System for My Agent’s Memory

Learn why an agent's memory is more than a chat history and how to build a small, testable storage that agents can use across tasks.

September 14, 2026

by Markus Eisele

· 2,241 Views · 3 Likes

Data Governance for the Agentic Era

This article explores how modern data governance and AI-ready architecture help enterprises manage data quality, risk, compliance, and AI at scale.

September 14, 2026

by Dr Gopala Krishna Behara

CORE

· 2,350 Views · 2 Likes

A Practical Framework for Scoping an AI Proof of Concept

Most AI POCs fail at scoping, not coding. Set one measurable goal, verify the data, box the time and cost, and agree kill criteria before you build.

September 14, 2026

by Paul Schloss

· 1,615 Views · 1 Like

A Firewall for AI Agents: Enforce Authority at Every Tool Call

The control that actually stops an AI agent from causing harm runs on its tool calls, not on the words going into the model.

September 14, 2026

by Jithu Paulose

· 2,371 Views

How to Perform Response Verification in REST-Assured Java for API Testing: Part 2

Master REST-Assured response verification in Java with Hamcrest Matchers, JSON assertions, API validations, and real-world examples.

September 11, 2026

by Faisal Khatri

CORE

· 2,912 Views · 3 Likes

When TypeScript Types Meet Untrusted AI: Building Type-Safe LLM Pipelines With Runtime Validation

Learn in this article how to treat LLM output as unknown until runtime schema validation proves it safe for typed application logic.

September 11, 2026

by Bhanu Sekhar Guttikonda

CORE

· 3,127 Views · 1 Like

Your AI Coding Assistant Stopped Suggesting and Started Shipping. Now What?

Coding assistants are evolving beyond autocomplete. Here's how coding agents are changing software development and why human judgment still matters.

September 11, 2026

by Atul Kumar

· 2,593 Views · 2 Likes

Prompt Caching: Overriding Tokenization for Faster and More Cost-Effective AI

Prompt caching allows AI systems to reuse the processing of unchanged token sequences, resulting in faster inference, lower latency, and reduced costs.

September 11, 2026

by Ravi Ranjan Shahi

· 3,509 Views

Replacing JSON With Protobuf in Your Microservice Mesh: A Zero-Downtime Migration Blueprint

JSON hurts at scale. Protobuf cuts payload size by ~72%, reduces CPU overhead, and enforces typed contracts. However, it needs careful schema management.

September 11, 2026

by Bansidhar kadiya

· 3,172 Views · 2 Likes

The Latest Popular Topics