Author: Ricardo

Agentic AI Editors Pick

How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context
ByRicardo May 16, 2026

In this tutorial, we discover how to use Repowise to construct repository-level intelligence for the itsdangerous Python mission in a sensible and reproducible method. We begin with an already cloned repository, configure Repowise utilizing the obtainable LLM credentials, and initialize its indexing pipeline. We then examine the generated .repowise artifacts, analyze the repository graph with…

Read More How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context
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
AI Infrastructure AI Shorts

Zyphra Releases ZAYA1-8B-Diffusion-Preview: The First MoE Diffusion Model Converted From an Autoregressive LLM With Up to 7.7x Speedup
ByRicardo May 15, 2026

Zyphra, the San Francisco-based AI lab behind the ZAYA1 mannequin household, launched ZAYA1-8B-Diffusion-Preview — a preview of its early work in diffusion-language fashions. The launch demonstrates that an present autoregressive language mannequin will be transformed right into a discrete diffusion mannequin with no systematic lack of analysis efficiency, whereas delivering substantial inference speedups on AMD…

Read More Zyphra Releases ZAYA1-8B-Diffusion-Preview: The First MoE Diffusion Model Converted From an Autoregressive LLM With Up to 7.7x Speedup
ERP Interviews

Deloitte: Scale ‘autonomous intelligence’ for real growth
ByRicardo May 15, 2026

Enterprise leaders should progress previous generative functions and scale “autonomous intelligence” to seize real growth. Generating textual content or summarising inside communications gives localised productiveness enhancements, but these talents hardly ever alter the core value or income construction of a giant organisation. Enterprises at the moment are centered on deploying programs able to unbiased execution….

Read More Deloitte: Scale ‘autonomous intelligence’ for real growth
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
Data Science Editors Pick

A Coding Implementation to Master GPU Computing with CuPy, Custom CUDA Kernels, Streams, Sparse Matrices, and Profiling
ByRicardo May 15, 2026May 15, 2026

In this tutorial, we delve into CuPy as a robust GPU-accelerated different to NumPy for high-performance numerical computing in Python. We begin by inspecting the accessible CUDA system, checking the CuPy model, runtime particulars, GPU reminiscence, and compute functionality in order that we perceive the {hardware} surroundings earlier than operating heavy computations. Then, we examine…

Read More A Coding Implementation to Master GPU Computing with CuPy, Custom CUDA Kernels, Streams, Sparse Matrices, and Profiling
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

Author: Ricardo

How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context

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

Zyphra Releases ZAYA1-8B-Diffusion-Preview: The First MoE Diffusion Model Converted From an Autoregressive LLM With Up to 7.7x Speedup

Deloitte: Scale ‘autonomous intelligence’ for real growth

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

A Coding Implementation to Master GPU Computing with CuPy, Custom CUDA Kernels, Streams, Sparse Matrices, and Profiling

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

Curated by experts. Filtered for relevance.

Resources

About

Subscribe & learn more every day!