The Latest and Popular SDLC Topics

Supercharging AI Agents with Azure Context: A Hands-On Guide to Azure MCP

Here’s a step-by-step guide for cloud engineers on how to bridge local AI assistants with live Azure infrastructure using the Model Context Protocol.

October 8, 2026

by Ammar Ekbote

· 1,461 Views · 1 Like

Putting Guardrails Around What Your AI Agent Is Allowed to Touch

Governance that stops at the model is theater. Put a guardrail gate at the runtime boundary: bind identity, scope retrieval, gate actions, log everything.

October 8, 2026

by Avinash Maddineni

· 1,750 Views · 1 Like

Engineering AI Accountability: Control the Execution Path, Not the Model

True AI accountability requires governing runtime execution paths, explicit authority boundaries, and structured audit evidence, not just model weights.

October 8, 2026

by Maira Ata

· 1,011 Views · 1 Like

Remember Me, Safely: Durable and Governed Memory for Enterprise AI Agents

Agent memory is durable state, not a model feature: isolate threads by principal, checkpoint at boundaries, redact before writes, and resume idempotently.

October 8, 2026

by Harish Gaggar

· 2,109 Views · 1 Like

AI Has Solved the Code Bottleneck. Now Engineering Leaders Have a Measurement Problem.

AI-assisted engineering is shifting the bottleneck from coding to verification. Learn why traditional metrics miss the hidden cost of AI-generated code.

October 8, 2026

by Igboanugo David Ugochukwu

CORE

· 1,646 Views · 2 Likes

OpenAI Watermarks ChatGPT and Codex: What Changes for EU Users

OpenAI will add invisible watermarks to eligible ChatGPT and Codex text in the EU. Learn how detection works, its limits, and what EU users should know.

October 7, 2026

by Liz Ticong

· 1,437 Views · 1 Like

AI Agents Leaked 13,000 Screenshots: Why Enterprise Approval Controls Failed

A reported leak of 13,000 screenshots shows how AI agents can bypass weak approval and audit controls even when organizations have written policies.

October 7, 2026

by Tim Freestone

· 1,618 Views · 1 Like

AI Agents for Software Engineering and Autonomous Development Workflows

Build reliable AI engineering agents with bounded autonomy, isolated workspaces, deterministic verification, permission controls, and measurable workflow evaluation.

October 7, 2026

by Jaswanth Mopathi

· 2,226 Views · 4 Likes

Agentic Workflows Without LLMs? How I Cut a 14-Hour Engineering Workflow to 2 Hours

Cut a 14-hour engineering workflow to ~2 hours — LLM agents only for reasoning, deterministic code for the rest. Good agentic design means knowing when to skip the LLM.

October 7, 2026

by Lucas Yoon

· 1,721 Views · 2 Likes

From Issue to Reviewable Patch: Build a Sandboxed Coding Agent With Deep Agents and Automated Tests

A sandboxed coding agent uses Deep Agents and automated tests to turn issues into tested patches ready for human review.

October 7, 2026

by Akhil Madineni

CORE

· 1,388 Views · 3 Likes

Classification Never Left. It Just Got a New Home in LLMs.

Jev and Laya are new models built only for fast, structured decisions: choice, score, or true and false, not text generation. They read input once and return a label.

October 7, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 1,252 Views · 3 Likes

Building High-Performance Time-Series Applications With Java and QuestDB

QuestDB combines fast time-series ingestion with a familiar SQL model. With Eclipse JNoSQL 1.1.18, Java developers can use it through TimeSeriesTemplate and Jakarta Data.

October 7, 2026

by Otavio Santana

CORE

· 2,021 Views · 2 Likes

Building and Serving a Custom Model With Azure ML, Then Wiring It Into a Foundry Agent

This guide walks through custom Azure ML model training and deployment to a Managed Online Endpoint and connecting it to a Microsoft Foundry agent as a function tool.

October 6, 2026

by Jubin Soni, FBCS

CORE

· 5,686 Views · 5 Likes

Resume the Evaluation, Not the Entire Batch: Build a Checkpoint-Aware AI Job Controller With Temporal

A checkpoint-aware Temporal controller resumes interrupted AI evaluations from saved progress instead of rerunning the entire batch.

October 6, 2026

by Akhil Madineni

CORE

· 1,552 Views · 3 Likes

Building IoT Time-Series Applications With Java and Apache IoTDB

Apache IoTDB targets device-oriented time-series workloads. Eclipse JNoSQL 1.1.18 lets Java devs use it with TimeSeriesTemplate and Jakarta Data repositories.

October 6, 2026

by Otavio Santana

CORE

· 1,458 Views · 3 Likes

OpenSearch Heap Sizing: Swap, Page Cache, and the 50% Rule

The story has two parts. In Act 1, we trace elevated latency back to a JVM heap, showing how anonymous memory can still end up in swap even with vm.swappiness=1.

October 6, 2026

by Maxim Muzafarov

· 1,454 Views · 1 Like

Building an AI-Ready Data Layer Without Rebuilding the Enterprise

Learn in this article how to modernize data architecture gradually while preserving analytics, governance, and reliability.

October 6, 2026

by Rajaganapathi Rangdale Srinivasa Rao

· 1,030 Views · 1 Like

Grounding AI Agents in Governed Data

Stop trusting prompts alone to protect PII. Put AI agents behind the same governed semantic layer as your human analysts.

October 6, 2026

by Jeevan reddy Geereddy

· 1,051 Views · 1 Like

The Context Window Trap: Why More Context Doesn’t Mean Better AI

More context can create more noise, cost, and confusion. AI systems perform better when they retrieve, rank, and prioritize relevant information.

October 5, 2026

by Chidiebere Njoku

· 928 Views · 2 Likes

I Tried Building a "Token Optimization Stack" for Coding Agents. Here's Why I Killed It.

My token-saving stack for Claude Code broke 2 of 3 fixes — and its best savings number came from no op run. Killed it before a trustworthy test hit $1,200+.

October 5, 2026

by Shreyash Thakare

· 810 Views · 1 Like

The Latest Popular Topics