How to Orchestrate 100+ Agents With Claude Code
Author(s): Eivind Kjosbakken Originally published on Towards AI. How to Orchestrate 100+ Agents With Claude Code In this article, I’ll discuss how to orchestrate a lot of different agents using Claude Code or any other coding agents The article explains why orchestrating …
8 Years Ago I Learned Python 3.8. Now We’re at 3.15
Author(s): Hamza Boulahia Originally published on Towards AI. Here’s what you should know about Python’s evolution. I started learning Python right after finishing my Master’s in Applied Mathematics. My initial goal was to use it for data science and eventually land a …
Everything Is a Plugin: Inside DeepSeek Harness, the Week the Scaffolding Became the Product
Author(s): Shrashti Singhal Originally published on Towards AI. Everything Is a Plugin: Inside DeepSeek Harness, the Week the Scaffolding Became the Product A year ago, “the harness is the product” was an argument. On August 13, DeepSeek turned it into a strategy: …
Why 40% of AI Agent Projects Are Doomed to Fail (And How Not to Be One of Them)
Author(s): Aqeel Abbas Originally published on Towards AI. The demo always works. Production is where the truth comes out. Somewhere right now, a team is watching an AI agent nail a demo. It handles the tricky edge case flawlessly, the room nods, …
![[Day 7/100] Chain-of-Thought, Tree-of-Thought, and Plan-and-Execute](https://miro.medium.com/v2/resize:fit:700/1*k0smUGP4XmT47yGa-iZPGg.png "[Day 7/100] Chain-of-Thought, Tree-of-Thought, and Plan-and-Execute")
[Day 7/100] Chain-of-Thought, Tree-of-Thought, and Plan-and-Execute
Author(s): Montasir Mahmud Originally published on Towards AI. [Day 7/100] Chain-of-Thought, Tree-of-Thought, and Plan-and-Execute ReAct is the workhorse of modern agents, but it is not the only pattern. Yesterday we named three places ReAct struggles: long-horizon tasks where the model loses the …
5 SGLang RadixAttention configs that cut agent inference latency by half
Author(s): allglenn Originally published on Towards AI. Five practical configurations for faster prefix reuse, lower time-to-first-token, and more responsive agent workloads. Your agent sends a 2,000-token system prompt on every request. Your inference server recomputes the KV activations for those 2,000 tokens …
Dumpster Inference
Author(s): Gian Luca Bailo, Ph.D. Originally published on Towards AI. Dumpster Inference Hardware is declared obsolete against a general-purpose yardstick. Inference is not general purpose. Pick one task, and parts written off years ago come back with most of their value intact …
The Breakpoint Protocol: The 280-Million Patient Monopoly Trap
Author(s): Piyoosh Rai Originally published on Towards AI. The FTC is probing Epic’s 325-million patient data empire. Here is the engineering anatomy of the EHR authentication bottleneck and how to build a decoupled FHIR ingestion pipeline. In August 2026, the Federal Trade …
How to Use Claude Code for QA Automation (Skills, Playwright, and CI)
Author(s): Sage Holloway 🍓 Originally published on Towards AI. How to Use Claude Code for QA Automation (Skills, Playwright, and CI) Close the context gap: /init, skill.md, Playwright MCP vs CLI, black-box tools, and a headless GitHub Action. You pasted the same …
Model Collapse Is Real. The Version Everyone Repeats Is Wrong.
Author(s): Aqeel Abbas Originally published on Towards AI. A Nature paper proved this — but the condition nobody quotes is the difference between a doomed pipeline and a fine one. In July 2024, Shumailov and colleagues published a paper in Nature — …
The Ultimate Guide to LLM Inference Optimization- Part 1
Author(s): Ashish Abraham Originally published on Towards AI. The Ultimate Guide to LLM Inference Optimization- Part 1 2026 is again one of those years you realize that big tech is not gonna stop on AI, even with bloated revenue, mounting infrastructure costs, …
Why Autonomous Agents Fail on EHR Write-Backs: Architecting Gateway Validation for FHIR APIs
Author(s): Maya Lin Originally published on Towards AI. Why Autonomous Agents Fail on EHR Write-Backs: Architecting Gateway Validation for FHIR APIs Building autonomous clinical workflows requires moving beyond basic conversational interfaces to direct system integration. When deploying LLM-driven agents into clinical environments, …
Your AI Agents Keep Forgetting Everything. Google Just Changed How They Remember.
Author(s): Kushal Banda Originally published on Towards AI. Your AI Agents Keep Forgetting Everything. Google Just Changed How They Remember. Every team building AI agents hits the same wall. The model can write code, query a database, or debug a pipeline. It …
How to Navigate the Bias-Variance Tradeoff and Double Descent Ethically in Machine Learning
Author(s): Selin Karabulut, PhD Originally published on Towards AI. How to Navigate the Bias-Variance Tradeoff and Double Descent Ethically in Machine Learning Image generated by Google’s Gemini In machine learning, we’ve always lived by the bias-variance tradeoff, a constant balancing act, and …
LLM-as-a-Judge: Building LLM-Based Evaluation Pipelines for AI Applications
Author(s): Divakar Ungatla Originally published on Towards AI. AI Engineering FundamentalsAI Evaluation · Part 5 ← Part 4 In the previous article, we explored Human Evaluation and how human reviewers can assess AI application quality using structured evaluation criteria. Human evaluation solves …
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