Stop Evaluating LLMs with “Vibe Checks”
manager. Your team has just spent three weeks refactoring the prompt chain for your company’s internal AI research agent. They deploy the new version to a staging environment, run a few queries, and report back: “It feels much better. The answers are more detailed.” If you approve that deployment based on a “vibe check,” you […]
Best AI Agents for Software Development Ranked: A Benchmark-Driven Look at the Current Field
The AI coding agent market looks almost unrecognizable compared to 2024 or even early 2025. What started as inline autocomplete has evolved into fully autonomous systems that read GitHub issues, navigate multi-file codebases, write fixes, execute tests, and open pull requests — without a human typing a single line of code. By early 2026, roughly […]
Supertone Releases Supertonic v3: On-Device Text-to-Speech Model with 31-Language Support, Fewer Reading Failures, and Expression Tags
Supertone released Supertonic 3, the third generation of its on-device, ONNX-based text-to-speech system. Supertonic 3 ships with 31-language support, improved reading accuracy, fewer repeat and skip failures, and v2-compatible public ONNX assets. It is Lightning Fast, On-Device, Multilingual and Accurate TTS. What Changed from v2 to v3 Compared with Supertonic 2, Supertonic 3 reduces repeat […]
How to Build a Django-Unfold Admin Dashboard with Custom Models, Filters, Actions, and KPIs
(ROOT / “shop” / “admin.py”).write_text(”’ from django.contrib import admin, messages from django.contrib.auth.admin import (UserAdmin as DjangoUserAdmin, GroupAdmin as DjangoGroupAdmin) from django.contrib.auth.models import User, Group from django.shortcuts import redirect from django.utils.html import format_html from django.utils.translation import gettext_lazy as _ from unfold.admin import ModelAdmin, TabularInline from unfold.contrib.filters.admin import ( ChoicesDropdownFilter, RangeNumericFilter, RangeDateFilter, MultipleChoicesDropdownFilter, ) from unfold.decorators import […]
Poetiq’s Meta-System Automatically Builds a Model-Agnostic Harness That Improved Every LLM Tested on LiveCodeBench Pro Without Fine-Tuning
Poetiq has just published some very interesting results showing its Meta-System reached a new state-of-the-art on LiveCodeBench Pro (LCB Pro), a competitive coding benchmark, by automatically building and optimizing its own inference harness — without fine-tuning any underlying model or accessing model internals. The result: GPT 5.5 High with Poetiq’s harness scores 93.9% on LCB […]
A Coding Implementation to Master GPU Computing with CuPy, Custom CUDA Kernels, Streams, Sparse Matrices, and Profiling
header(“6. RAW CUDA KERNEL — MANDELBROT”) mandel = cp.RawKernel(r”’ extern “C” __global__ void mandel(float xmin, float xmax, float ymin, float ymax, int W, int H, int max_iter, int* out) { int ix = blockDim.x * blockIdx.x + threadIdx.x; int iy = blockDim.y * blockIdx.y + threadIdx.y; if (ix >= W || iy >= H) return; […]
Cline Releases Cline SDK: An Open-Source Agent Runtime Now Powering Its CLI and Kanban, With IDE Extensions Being Migrated
Cline became ‘agentic’ before it was cool, but building on the bleeding edge usually leads to some structural debt. Over time, the agent loop and the VS Code extension became a package deal—making it a headache to maintain or move to new environments. Its tough to just keep layering features on a rigid core. Cline, […]
The Next AI Bottleneck Isn’t the Model: It’s the Inference System
I’ve seen a lot when I’m working with enterprise AI teams: they nearly always blame the model when something goes wrong. This is understandable, but it’s also frequently incorrect, and it ends up being quite costly. The usual scenario is as follows. The outputs are inconsistent; when someone raises it, the first reaction is to […]
The Counterintuitive Networking Decisions Behind OpenAI’s 131,000-GPU Training Fabric
. Accept packet loss on purpose. Spray each transfer across hundreds of random paths. If someone handed you this list of design decisions for a network connecting 131,000 GPUs, you would assume it was written by someone who had never operated a production network. A consortium of OpenAI, AMD, Broadcom, Intel, Microsoft, and NVIDIA built […]
I Let CodeSpeak Take Over My Repository
have evolved significantly over time, becoming increasingly abstract and easier for humans to understand. In the early days of computing, programmers worked directly with machine code, manually entering raw binary instructions using punch cards, where holes encoded data and commands for early mainframes. This process was tedious and highly error-prone: a single misplaced hole could […]