AI/ML Resources

Track Brand Visibility Across AI Answer Engines with Python

A self-hosted way to track a brand's mention, citation, and share of voice across AI answer engines — sampled on a schedule so you follow the trend, not a single answer.

September 24, 2026

by Nadia Mohamed

· 1,433 Views · 1 Like

When Your Chatbot Can Talk Its Way Into the Scoring Engine

If you are building a system that both evaluates people and talks to them, assume the two functions will entangle unless you deliberately separate them.

September 24, 2026

by Somnath Banerjee

· 1,361 Views · 1 Like

Integrating LLMs into iOS Applications With Swift Using ONNX Runtime

This article explores how to integrate an ONNX transformer model into an iOS application using Swift. It covers loading and running models with ONNX Runtime.

September 24, 2026

by Kagan Girgin

· 1,309 Views · 1 Like

An Enterprise AI Governance Checklist for Software Teams

A seven-point governance checklist for engineering teams, with automated CI/CD pipeline gates for model registration, bias testing, and drift detection.

September 24, 2026

by Mohanaraman Namasivayam

· 1,432 Views · 1 Like

RAG Is Not Enough: The Rise of Enterprise Knowledge Graphs for AI Systems

Enterprise AI needs knowledge graphs alongside RAG to enable relationship-aware, explainable, secure, and contextually accurate retrieval and reasoning.

September 24, 2026

by Uthej Mopathi

CORE

· 2,080 Views · 3 Likes

Anthropic Builds Biology Lab to Test What Claude Can Do in the Real World

Anthropic has opened a biology lab to test Claude with real experiments and lab equipment, expanding its AI life sciences work beyond computer simulations.

September 24, 2026

by Aminu Abdullahi

· 1,578 Views · 1 Like

SpaceXAI Launches Grok 4.7: Low Prices, Heavy Token Use

SpaceXAI’s Grok 4.7 improves coding benchmarks and keeps API prices low, but heavy token consumption could raise the cost of completing real-world tasks.

September 24, 2026

by Aminu Abdullahi

· 3,436 Views · 1 Like

6 Techniques To Reduce LLM API Costs With the Python Library

Six techniques to cut LLM API costs by up to 90%: prompt caching, model routing, batch processing, and more. (Includes a pip-installable Python library.)

September 23, 2026

by Somnath Banerjee

· 2,442 Views · 2 Likes

Beyond Linting: Why We Switched To Semantic Contracts for A11y and Localization

We arrived at the concept of "Semantic Contracts" not as a top-down decree, but as a survival mechanism. Here's how we implemented the switch.

September 23, 2026

by Ridhdhi Desai

· 1,490 Views · 1 Like

How to Build an AI Agent to Generate Selenium WebDriver Tests in Java: A Practical Guide for Test Automation Engineers

A step-by-step guide using OpenAI and Ollama to build an AI agent that generates Selenium Java tests from plain-English scenarios.

September 23, 2026

by Faisal Khatri

CORE

· 1,911 Views · 2 Likes

How to Build an Asynchronous AI-Content Review Workflow in C#

Learn how to accept image submissions properly and evaluate them for AI content in the background, keeping unapproved content out of normal publication workflows.

September 23, 2026

by Brian O'Neill

CORE

· 1,730 Views · 1 Like

What Full-Stack AI Engineering Means in Real Projects

Full-stack AI development is building an AI feature end to end. In 2026 the hard part is agentic reliability, evals, and production, not the model call.

September 23, 2026

by Paul Schloss

· 1,893 Views · 1 Like

Beyond Token Intelligence: Why AI Code Review Needs Cognitive Architectures

AI is generating code faster than humans can review it. The fix is cognitive architectures that understand not just "what changed" but "why" and whether it's safe.

September 22, 2026

by Sayan Chatterjee

· 2,230 Views · 3 Likes

The Math Behind AI Testing: Why 1,000 Test Cases May Tell You Less Than 100

More AI test cases don't automatically increase confidence. Smart, risk-based statistical sampling provides more reliable AI validation than expanding a test suite.

September 22, 2026

by Rajeshkumar Rajaseakaran Nair

· 1,649 Views · 2 Likes

Using Graph RAG and Specialized Agents to Repair Playwright Tests

Graph RAG and specialized agents diagnose, repair, and validate failing Playwright tests using repository-wide context with modern CI/CD pipelines.

September 22, 2026

by Srinivas Rao Jonnakuti

· 1,792 Views · 2 Likes

How to Build a Production-Ready iOS App With AI-Generated Code

AI-generated iOS apps need rigorous engineering across security, architecture, testing, observability, and reliability before production deployment.

September 21, 2026

by Uthej Mopathi

CORE

· 2,388 Views · 3 Likes

When an iOS Retry Executes an Agent Twice: Building Effectively-Once Tool Workflows With LangGraph, MCP Tasks, Kafka, and App Attest

Stable operation IDs prevent iOS retries from duplicating agent tools across LangGraph, MCP Tasks, Kafka, and App Attest.

September 21, 2026

by Uthej Mopathi

CORE

· 1,975 Views · 3 Likes

Building an AI System That Makes Your Entire Company Queryable: A Startup's Guide

Learn how to give every employee instant, accurate answers from your company's collective knowledge, without a six-figure infra bill or a security nightmare.

September 21, 2026

by Balaji Venkatasubramaniyar

CORE

· 1,540 Views · 1 Like

MCP Is the USB-C of AI — Here's What That Actually Means for Your Architecture

A senior engineer's guide to production MCP: JSON-RPC 2.0 transport, OAuth 2.1 auth, stateless horizontal scaling, and where the protocol genuinely breaks.

September 21, 2026

by Dinesh Elumalai

CORE

· 1,910 Views · 2 Likes

When Mobile Connections Break: Recovering Long-Running iOS Workflows With LangGraph and Event-Driven Backends

LangGraph checkpoints and event-driven backends let iOS apps resume long-running workflows after network drops without duplicate work.

September 21, 2026

by Uthej Mopathi

CORE

· 1,707 Views · 3 Likes

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