Agentic AI

Agentic AI Editors Pick

How to Build an MCP Style Routed AI Agent System with Dynamic Tool Exposure Planning, Execution, and Context Injection
ByRicardo May 15, 2026

In this tutorial, we construct a completely useful MCP-style routed agent system from scratch, combining software discovery, clever routing, structured planning, and execution right into a single cohesive workflow. We begin by organising a modular software server that exposes capabilities reminiscent of internet search, native retrieval, dataset loading, and Python execution, all outlined by structured…

Read More How to Build an MCP Style Routed AI Agent System with Dynamic Tool Exposure Planning, Execution, and Context Injection
Agentic AI AI Agents

Best AI Agents for Software Development Ranked: A Benchmark-Driven Look at the Current Field
ByRicardo May 15, 2026

The AI coding agent market seems to be virtually unrecognizable in comparison with 2024 and even early 2025. What began as inline autocomplete has advanced into absolutely autonomous methods that learn GitHub points, navigate multi-file codebases, write fixes, execute assessments, and open pull requests — and not using a human typing a single line of…

Read More Best AI Agents for Software Development Ranked: A Benchmark-Driven Look at the Current Field
Agentic AI AI Shorts

Supertone Releases Supertonic v3: On-Device Text-to-Speech Model with 31-Language Support, Fewer Reading Failures, and Expression Tags
ByRicardo May 15, 2026

Supertone launched Supertonic 3, the third era of its on-device, ONNX-based text-to-speech system. Supertonic 3 ships with 31-language assist, improved studying accuracy, fewer repeat and skip failures, and v2-compatible public ONNX belongings. It is Lightning Fast, On-Device, Multilingual and Accurate TTS. What Changed from v2 to v3 Compared with Supertonic 2, Supertonic 3 reduces repeat…

Read More Supertone Releases Supertonic v3: On-Device Text-to-Speech Model with 31-Language Support, Fewer Reading Failures, and Expression Tags
Agentic AI Editors Pick

How to Build a Django-Unfold Admin Dashboard with Custom Models, Filters, Actions, and KPIs
ByRicardo May 15, 2026May 15, 2026

In this tutorial, we construct a sophisticated Django-Unfold admin dashboard. We begin by putting in Django, Django-Unfold, and the required dependencies, then we create a recent Django challenge with a store software. We configure Unfold with a fashionable admin theme, customized sidebar navigation, dashboard callbacks, product badges, tabs, filters, actions, and a customized admin homepage….

Read More How to Build a Django-Unfold Admin Dashboard with Custom Models, Filters, Actions, and KPIs
Agentic AI AI Shorts

Poetiq’s Meta-System Automatically Builds a Model-Agnostic Harness That Improved Every LLM Tested on LiveCodeBench Pro Without Fine-Tuning
ByRicardo May 15, 2026

Poetiq has simply revealed some very attention-grabbing outcomes exhibiting its Meta-System reached a new state-of-the-art on LiveCodeBench Pro (LCB Pro), a aggressive coding benchmark, by routinely constructing and optimizing its personal inference harness — with out fine-tuning any underlying mannequin or accessing mannequin internals. The consequence: GPT 5.5 High with Poetiq’s harness scores 93.9% on…

Read More Poetiq’s Meta-System Automatically Builds a Model-Agnostic Harness That Improved Every LLM Tested on LiveCodeBench Pro Without Fine-Tuning
Agentic AI AI Agents

Cline Releases Cline SDK: An Open-Source Agent Runtime Now Powering Its CLI and Kanban, With IDE Extensions Being Migrated
ByRicardo May 14, 2026

Cline turned ‘agentic’ earlier than it was cool, however constructing on the bleeding edge normally results in some structural debt. Over time, the agent loop and the VS Code extension turned a bundle deal—making it a headache to keep up or transfer to new environments. Its powerful to simply preserve layering options on a inflexible…

Read More Cline Releases Cline SDK: An Open-Source Agent Runtime Now Powering Its CLI and Kanban, With IDE Extensions Being Migrated
Agentic AI AI Infrastructure

Nous Research Releases Token Superposition Training to Speed Up LLM Pre-Training by Up to 2.5x Across 270M to 10B Parameter Models
ByRicardo May 14, 2026

Pre-training giant language fashions is pricey sufficient that even modest effectivity enhancements can translate into significant price and time financial savings. Nous Research is releasing Token Superposition Training (TST), a technique that considerably reduces pre-training wall-clock time at fastened compute with out touching the mannequin structure, optimizer, tokenizer, parallelism technique, or coaching information. At the…

Read More Nous Research Releases Token Superposition Training to Speed Up LLM Pre-Training by Up to 2.5x Across 270M to 10B Parameter Models
Agentic AI AI Infrastructure

Fastino Labs Open-Sources GLiGuard: A 300M Parameter Safety Moderation Model That Matches or Exceeds Accuracy of Models 23–90x Its Size
ByRicardo May 13, 2026

As LLM-powered functions transfer into manufacturing — and as AI brokers tackle extra consequential duties like shopping the net, writing and executing code, and interacting with exterior companies — security moderation has quietly turn into one of probably the most operationally costly elements of the stack. Most builders who’ve deployed a manufacturing LLM system know…

Read More Fastino Labs Open-Sources GLiGuard: A 300M Parameter Safety Moderation Model That Matches or Exceeds Accuracy of Models 23–90x Its Size
Agentic AI AI Agents

Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration
ByRicardo May 13, 2026May 13, 2026

Most AI programs right now work in turns. You sort or communicate, the mannequin waits, processes your enter, after which responds. That’s your complete interplay loop. Thinking Machines Lab, an AI analysis lab, is arguing that this mannequin of interplay is a elementary bottleneck. Thinking Machines Lab group launched a analysis preview of a brand…

Read More Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration
Agentic AI AI Shorts

Google DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor
ByRicardo May 13, 2026

The mouse pointer has sat at the heart of non-public computing for greater than half a century. It tracks cursor place. It registers clicks. Beyond that, it does nearly nothing. Google DeepMind researchers outlined a set of experimental rules and demos for an AI-enabled pointer that goes significantly additional: one which understands not simply the…

Read More Google DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor

Agentic AI

How to Build an MCP Style Routed AI Agent System with Dynamic Tool Exposure Planning, Execution, and Context Injection

Best AI Agents for Software Development Ranked: A Benchmark-Driven Look at the Current Field

Supertone Releases Supertonic v3: On-Device Text-to-Speech Model with 31-Language Support, Fewer Reading Failures, and Expression Tags

How to Build a Django-Unfold Admin Dashboard with Custom Models, Filters, Actions, and KPIs

Poetiq’s Meta-System Automatically Builds a Model-Agnostic Harness That Improved Every LLM Tested on LiveCodeBench Pro Without Fine-Tuning

Cline Releases Cline SDK: An Open-Source Agent Runtime Now Powering Its CLI and Kanban, With IDE Extensions Being Migrated

Nous Research Releases Token Superposition Training to Speed Up LLM Pre-Training by Up to 2.5x Across 270M to 10B Parameter Models

Fastino Labs Open-Sources GLiGuard: A 300M Parameter Safety Moderation Model That Matches or Exceeds Accuracy of Models 23–90x Its Size

Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration

Google DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor

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