The Latest and Popular SDLC Topics

How to Build a Local LLM Agent to Automate Work List Generation from Monthly Reports (With Jira Integration)

Learn how a local LLM agent automates work list generation from reports, enriches tasks from Jira, detects duplicates, and keeps enterprise data secure.

June 11, 2026

by Sergey Laptick

· 3,097 Views · 3 Likes

Native SQL in Java Without JDBC Boilerplate — Meet Ujorm3

Ujorm3 eliminates JDBC boilerplate without a full ORM. Write native SQL with named parameters, get objects back — including nested relations.

June 11, 2026

by Pavel Ponec

· 2,972 Views · 6 Likes

If You Can Survive a Toddler, You Can Ship LLMs in Production

A silent provider update once invalidated months of LLM scores in a pipeline I owned. Here is what I changed after, and how parenting taught me the same lesson twice.

June 11, 2026

by Scarlett Attensil

· 3,097 Views · 1 Like

Rust-Native Alternatives to Spark SQL and DataFrame Workloads

Sail is an open-source computation framework that serves as a drop-in replacement for Apache Spark (SQL and DataFrame API) in both single-host and distributed settings.

June 11, 2026

by Srinivasarao Rayankula

· 4,155 Views · 4 Likes

The AI Autonomy Spectrum: 7 Architecture Patterns for Intelligent Applications

AI integration is more than agents and prompts. Explore seven architectural patterns to choose the right level of autonomy for enterprise applications.

June 11, 2026

by Otavio Santana

CORE

· 2,229 Views · 2 Likes

Can We Build Elite Search Agents Without Massive Industrial RL Pipelines?

OpenSeeker-v2 is intended to push the limits of search agents working with informative and also high-difficulty trajectories.

June 11, 2026

by mike labs

· 1,636 Views · 1 Like

Engineering Closed-Loop Graph-RAG Systems, Part 2: From Prompts to Rules

LLMs generate convincing recommendations, but convincing isn't the same as compliant. Here's how rule-augmented generation fixes that.

June 11, 2026

by Sriharsha Makineni

· 1,538 Views · 1 Like

Give Your AI Assistant Long-Term Memory With perag

Perag is a local, no-cloud private RAG tool that gives your AI assistant searchable access to your personal document archive via UNIX pipes and JSON.

June 10, 2026

by Peter Verhas

CORE

· 3,078 Views · 2 Likes

The Documentation Crisis Nobody Sees: Why AI Agents Are Breaking Faster Than Humans Can Document Them

Production AI failures often stem from undocumented behavior. Learn about AIDF, a framework for defining agent decisions, boundaries, and accountability.

June 10, 2026

by Igboanugo David Ugochukwu

CORE

· 3,023 Views · 2 Likes

Engineering Closed-Loop Graph-RAG Systems, Part 1: From Retrieval to Reasoning

Flat RAG handles lookups; it fails at relationship-aware reasoning. Here's when to move from vector retrieval to Graph-RAG.

June 10, 2026

by Sriharsha Makineni

· 2,567 Views · 2 Likes

5 Failure Patterns That Break AI Chatbots in Production

A field guide to what actually breaks AI chatbots in production, with code patterns and architectural fixes for each failure mode.

June 10, 2026

by Yash Vibhandik

· 2,576 Views · 1 Like

I Was Tired of Flying Blind With AI Agents, So I Built AgentDog

A lightweight Python toolkit to test AI agent behavior, catch drift, and validate tool use, grounding, safety, and efficiency before production.

June 10, 2026

by Sai Teja Erukude

· 3,569 Views · 1 Like

A Deep Dive into Tracing Agentic Workflows (Part 2)

Tracing agentic systems uses hierarchical IDs to form a System DAG, exposing performance and cost issues. Observer agents automate diagnosis and system self-correction.

June 10, 2026

by VIVEK KATARYA

· 1,904 Views · 2 Likes

Why Your AI Agent's Logs Aren't Earning Trust

What did the agent do? That’s a solved problem. Why did it do it? That’s not. Getting this right determines whether anyone trusts it with work that matters.

June 9, 2026

by Priyanka Kukreja

· 3,290 Views · 3 Likes

Logging What AI Agents Do in Salesforce: A Simple One-Object Audit Framework

Log every AI agent action to one custom object, and force the LLM to include a reasoning field in every tool call so you always know why it did what it did.

June 9, 2026

by Ronith Pingili

· 3,856 Views · 2 Likes

Amazon OpenSearch Vector Search Explained for RAG Systems

Use Amazon OpenSearch k-NN as your RAG vector store. Build a small Python example: create the index, embed docs, search by meaning.

June 9, 2026

by Jubin Soni, FBCS

CORE

· 6,364 Views · 1 Like

Building a RAG-Powered Bug Triage Agent With AWS Bedrock and OpenSearch k-NN

Learn how a RAG-powered bug triage agent uses AWS Bedrock, OpenSearch, and dynamic scoring to automate crash analysis and routing.

June 9, 2026

by Rajasekhar sunkara

· 6,728 Views · 1 Like

Token Attribution Framework for Agentic AI in CI/CD

A practical framework for tracking attribution, setting budgets, and circuit-breaking spending on LLM in your CI/CD pipeline by using an OpenTelemetry implementation.

June 9, 2026

by Intiaz Shaik

· 7,505 Views · 2 Likes

Engineering Agentic AI for Production: A Distributed Systems Perspective

Production agentic AI fails above the model layer - not because of the weights, but because of everything built around them.

June 9, 2026

by Rajesh Kumar Pandey

· 2,141 Views · 2 Likes

Agentic AI Has an Observability Blind Spot Nobody Is Talking About

Production AI agents can trigger cascading failures when observability tracks what broke, but not whether the system can safely absorb remediation actions.

June 8, 2026

by Sayali Patil

· 1,783 Views · 3 Likes

The Latest Popular Topics