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The Latest AI/ML Topics

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AI Won't Keep You from Hitting the Scalability Wall
AI coding tools can dramatically speed up integration builds — but speed isn't the bottleneck. The real issue is the long-term ownership cost.
July 8, 2026
by Bru Woodring
· 1,742 Views
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Building an AI Incident Copilot: How I Automated the First 15 Minutes of Every Production Incident
incopilot is an open-source Python CLI that automates the first 15 minutes of production incident triage — collecting logs, detecting failure patterns, and incidents.
July 7, 2026
by Sudhakararao Sajja
· 2,962 Views · 1 Like
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AI Can't Defend What It Can't See
AI can only defend what it can see. Give it incomplete data, and it won't warn you. It quietly reports everything as healthy while real attacks slip through unseen.
July 7, 2026
by Jithu Paulose
· 2,351 Views · 2 Likes
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Designing Tool-Calling AI Agents That Survive Production: A LangGraph Approach
AI agents work in demos and break into production. This LangGraph tutorial builds tool-calling agents that are fail-safe: validated, bounded, and observable.
July 7, 2026
by Shubham Gupta
· 1,932 Views
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Building a Mortgage Agent With FRED Data, FastAPI, and LLM Tool Calling
A walkthrough of an open-source intelligent FastAPI app that pairs Freddie Mac benchmarks from FRED with a first-time buyer chat assistant.
July 7, 2026
by Sushma Kukkadapu
· 2,309 Views
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How to Build a Production-Ready RAG Pipeline With Vector DBs
RAG prototypes are easy. Production RAG is not. This covers vector DB tradeoffs, chunking patterns, re-ranking, and evaluation setups that hold up at scale.
July 6, 2026
by Mark Saxon
· 3,433 Views · 1 Like
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Developer’s Checklist: How to Build an FHE Application
This step-by-step checklist breaks down FHE app development from plaintext design to encrypted implementation and offers open-source tools to get you started.
July 6, 2026
by David Archer
· 1,035 Views
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LangChain With SQL Databases: Natural Language to SQL Queries
Building an SQL interface that is easy to use for NON-SQL users and provides immediate and accurate answers to business queries.
July 6, 2026
by Varun Joshi
· 1,114 Views · 1 Like
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Prompt Injection Attacks and Hidden Security Risks in LLM Applications
Prompt injection hijacks an LLM by exploiting its inability to separate data from commands. Direct and indirect attacks require layered defenses, not one fix.
July 3, 2026
by Karini Kapoor
· 2,818 Views · 2 Likes
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Building an AI Agent That Responds to Real-Time Events With AWS Bedrock, Kinesis, DynamoDB, and S3
Build an AI agent that processes real-time events with Amazon Bedrock and a serverless AWS architecture powered by Kinesis, DynamoDB, and S3.
July 3, 2026
by Jubin Soni, FBCS DZone Core CORE
· 2,179 Views · 1 Like
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Real-Time AI Feature Engineering With Spark Structured Streaming and Databricks Feature Store
How Spark Structured Streaming and the Databricks Feature Store work together to build point-in-time-correct features from Kafka events to streaming transformations.
July 2, 2026
by Jubin Soni, FBCS DZone Core CORE
· 2,239 Views
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From Pilot to Production: The Six Agent Patterns That Determine Whether Your AI Program Scales or Stalls
Most AI agent programs don't fail because of technology. They fail because nobody owns the agent and nobody monitors it.
July 2, 2026
by BALAJI BARMAVAT
· 1,592 Views · 1 Like
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Multi-Agent Software Engineering: One Coding Agent Isn't Enough
Multiple AI agents with clear roles and checks deliver real software better than one agent, but cost more and only suit large tasks.
July 2, 2026
by Jithu Paulose
· 1,990 Views
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Why AI-Generated Code Is Making Regression Testing More Important, Not Less
AI-generated code introduces integration failures that spec-based tests cannot catch. Regression testing grounded in real production behavior is the fix.
July 1, 2026
by Sancharini Panda
· 1,624 Views
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AI-Augmented React Development: How I Rebuilt My Workflow Without Losing Control of the Code
AI accelerates React 18 workflows but breaks down in large enterprise codebases. Here’s where it helps, where it fails, and the guardrails your team needs.
July 1, 2026
by Sathwik Nagulapati
· 2,160 Views · 1 Like
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If You Can Facilitate a Retrospective, You Can Audit Your AI
Learn how the AI Delegation Audit helps Scrum teams inspect AI workflows, catch automation drift, and keep delegated AI work safe and accountable.
July 1, 2026
by Stefan Wolpers DZone Core CORE
· 1,714 Views · 1 Like
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Loop Engineering: The Layer After Prompt, Context, and Harness Engineering
This article walks through all four layers side by side, with comparison tables for when to use each one and which agent architecture fits which job.
July 1, 2026
by Vidyasagar (Sarath Chandra) Machupalli FBCS DZone Core CORE
· 1,910 Views · 1 Like
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The New Senior Developer Job Description: Half Engineer, Half AI Systems Architect
Senior developers now own two roles: traditional engineering plus AI systems architecture. This split reshapes compensation, hiring, and what 'senior' actually means.
June 30, 2026
by Dinesh Elumalai DZone Core CORE
· 3,198 Views · 4 Likes
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Architecting Trustworthy AI: Engineering Patterns for High-Stakes Environments
This post presents three domain-agnostic engineering patterns for building AI systems that remain safe even when the model is wrong.
June 29, 2026
by Sujay Puvvadi
· 1,526 Views
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Building Production-Safe Agentic Remediation With Docker MCP Gateway: Lessons From 43% to 100% Accuracy
We built an AI Docker remediation system on MCP Gateway. First version: 43% correct. After 9 engineering fixes: 100%. Here's what changed.
June 29, 2026
by Mohammad-Ali Arabi
· 2,360 Views
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