Stop Using Claude Code Like Solo Hackers: The Team Coordination System That Actually Scales
Author(s): Mayank Bohra Originally published on Towards AI. Stop Using Claude Code Like Solo Hackers: The Team Coordination System That Actually Scales Everyone’s sharing Claude Code productivity tricks for individual developers. But when your team tries the same workflows, chaos ensues. Here’s …
When the Data Bites Back: Injection Attacks Every LLM Engineer Should Know
Author(s): Shivang Doshi Originally published on Towards AI. Image generated using ChatGPT Why you should care Large‑language models (LLMs) are now embedded in products that answer emails, summarise documents and write code. They do this by ingesting two things: model weights (often …
LLMs as Judges: Practical Problems and How to Avoid Them
Author(s): Katherine Munro Originally published on Towards AI. Concrete advice for teams building LLM-powered evaluations My last post was all about conceptual problems with using Large Language Models to judge other LLMs. All images: Author provided.The article discusses the practical challenges of …
Building a Multi-Agent System for Enterprise Customer Support with Lyzr and Qdrant
Author(s): M Quamer Nasim Originally published on Towards AI. Multi-Agent System Architecture Every buyer needs prompt, precise, and personalized assistance in real-time. Once upon a time, the customer experience was handled manually, by sales folks across the counter or over the phone. …
Solving Deepfakes with Traces, Frequency, and Attention!
Author(s): Shreyash Pawar Originally published on Towards AI. Introduction Think videos where world leaders say wild things they never actually did, or photos so altered you question reality itself. As these fakes get scarily realistic, spotting them becomes crucial to fight misinformation …
TAI #168: Google’s ‘Nano Banana’ and the Rapid But Incremental Pace of AI Capabilities
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Google DeepMind launched Gemini 2.5 Flash Image, a new model that feels like a significant maturation point for AI-driven visual creation. A …
Applied Mathematics: The Hidden Engine Powering Tomorrow’s Breakthroughs
Author(s): Saif Ali Kheraj Originally published on Towards AI. How applied mathematicians solve real-world optimization problems in industry In the world of operations research and applied mathematics, few algorithms are as elegant and powerful as the simplex method for solving linear programming …
The Algorithmic Experience (AX)
Author(s): Alexandra Lebleu Originally published on Towards AI. Co-written by Yerko Ortiz ✍️ Users are aware when they tap a button or scroll through an app, but few realize that behind the scenes, algorithms are quietly shaping their experience. A survey from …
Designing Data Pipeline Architectures for Machine Learning Models
Author(s): Kuriko Iwai Originally published on Towards AI. A practical guide to transforming raw data into actionable predictions A data pipeline architecture serves as the strategic blueprint for transforming raw data into actionable predictions. Photo by Ayush Kumar on UnsplashThe article discusses …
Month in 4 Papers (August 2025)
Author(s): Ala Falaki, PhD Originally published on Towards AI. The complexity of reasoning, the promise of memory, and the rise of small models are shaping agentic AI. This series of posts is designed to bring you the newest findings and developments in …
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