Data Engineering Resources

AI readiness assessments can spark valuable discussions, but self-reported scores have limits. Learn how to evaluate and apply them effectively.

June 12, 2026

by Rick Freedman

· 2,824 Views · 2 Likes

Operationalizing Enterprise AI at Scale: Architecture, Governance, and Adoption

Enterprise AI success depends on scalable architecture, governance automation, AI operations, observability, and developer-first enablement strategies.

June 12, 2026

by Aravind Nuthalapati

CORE

· 2,866 Views · 3 Likes

Implementing the Planning Pattern With Java Enterprise and LangChain4j

Learn how to implement the Planning Pattern with Enterprise Java, Jakarta EE, CDI, and LangChain4j, enabling AI to transform business goals into executable workflows.

June 12, 2026

by Otavio Santana

CORE

· 2,600 Views · 1 Like

Engineering Closed-Loop Graph-RAG Systems, Part 3: Closing the Loop in Graph-RAG Systems

Closed-loop RAG needs feedback routing, not blind learning. Route signals carefully so the system improves without reinforcing bad answers.

June 12, 2026

by Sriharsha Makineni

· 1,919 Views

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

· 2,968 Views · 2 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

· 2,831 Views · 5 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

· 2,326 Views

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

· 3,338 Views · 3 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

· 1,906 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

· 1,572 Views

The Repo Tracker: Automating My Daily GitHub Catch-Up

Automate GitHub repo tracking with a local agent using Python, SQLite, and cron. Learn how to build a lightweight monitoring system for open-source projects.

June 11, 2026

by Alain Airom (Ayrom)

· 2,376 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

· 1,392 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

· 2,872 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

· 2,818 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

· 2,030 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

· 2,041 Views

Metal Default, a New Build Cloud, and a New Format

The iOS Metal renderer is now the default, the new Build Cloud console is wired into every Dashboard link on the site, and the weekly release blog is moving to a shorter

June 10, 2026

by Shai Almog

CORE

· 1,868 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

· 3,463 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

· 1,630 Views · 1 Like

Orchestrating Zero-Downtime Deployments With Temporal

Temporal provides the durable control plane for safe zero-downtime deployments across canaries, approvals, retries, and rollbacks.

June 10, 2026

by Akhil Madineni

CORE

· 1,465 Views · 1 Like

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