AI/ML Resources

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

· 2,461 Views · 2 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

· 1,315 Views

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

· 1,276 Views · 1 Like

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

· 1,383 Views

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

· 1,191 Views

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

· 2,045 Views · 1 Like

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

· 2,039 Views · 1 Like

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

· 1,383 Views · 1 Like

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

· 1,160 Views

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

· 1,425 Views

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

· 1,222 Views

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

· 2,467 Views · 2 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

· 1,175 Views · 1 Like

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 Abhishek Soni

CORE

· 958 Views

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

· 1,086 Views

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

· 6,194 Views · 1 Like

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

· 662 Views · 1 Like

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

· 1,285 Views · 2 Likes

Stop Choosing Sides: An Engineering Leader's Framework for Build, Buy, and Hybrid AI Agents in 2026

47% of enterprises already run a hybrid AI agent model — combining off-the-shelf tools with custom development. Most are doing it accidentally.

June 8, 2026

by Amit Srivastava

· 967 Views · 1 Like

How to Build an Agentic AI SRE Co-Pilot for Incident Response

Build an agentic SRE co-pilot using LLMs to autonomously reason, plan, and execute incident response across complex, multi-cloud infrastructure.

June 8, 2026

by Akshay Pratinav

· 1,174 Views

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