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Mobile Application GPU Optimization Guide

A practical guide teaching how to optimize mobile apps and games for Arm Mali GPUs by understanding hardware behavior, using profiling tools to find bottlenecks, and applying optimizations to Vulkan usage and asset rendering.

Speed of Code Reviews | eng-practices

Fast, frequent responses in code reviews are emphasized to maintain team velocity, reduce frustration, and keep code health high; personal focus should be protected, with reviews completed promptly within business-day expectations and multi-round iterations possible in a single day.

[2611.09218] BOXBOX: Recursive Harness Self-Improvement for Long-Running Performance Optimization

The paper introduces PerfRace, a benchmark for long-running software performance optimization, and BOXBOX, a system that lets agents revise their harness while a task is running. In tests with matched time budgets, BOXBOX achieved 1.70x speedup at four hours, ahead of the strongest baseline at 1.54x.

Opencode was exposed by netizens as Deepseek v4.1 Flash 1017, whose quality is far inferior to the official; it should be a self-deployed deployment after quantization, without a doubt. Author's exact words: Go is cheaper, slower, with timeouts and worse quality. Each round's quality winner is the DeepSeek API, and OpenCode Go frequently times out.

Translated title. Original: Leo · Building w/ AI on X: "Opencode 被网友扒出来 Deepseek v4.1 Flash 1017 的质量远不如官方，应该是量化后的自部署无疑了。。 作者的原话：Go 更便宜、更慢，还有超时和更差的质量。 每轮质量胜者都是 DeepSeek API，OpenCode Go 频繁超时。" / X

The author claims OpenCode performs worse than the official Deepseek, with slower, cheaper but timeouts, and notes improvements in future tests; readers are urged to follow for updates.

How to measure whether AI really saves your team time, without trusting a survey

A five-week, code-supported tutorial shows how to measure true AI time savings using concrete metrics rather than surveys, detailing a fair test method, the three key numbers, and practical steps with diagrams.

The technical debt companies would rather not see | TI INSIDE Online

Translated title. Original: A dívida técnica que as empresas preferem não enxergar | TI INSIDE Online

The article explains how technical shortcuts can speed up delivery but raise future maintenance costs and limit a product’s growth. It recommends identifying and prioritizing weak areas, then making testing, code review, documentation, and maintenance part of regular development.

GitHub - hrmnisthetuffest/ultra-optimizer: Claude Code skills for hardware-aware, network-aware and server-side optimization with strict safety boundaries · GitHub

Ultra Optimizer provides Claude Code commands for hardware-aware, bounded automatic tuning, using a Runtime Adaptive Configuration Engine (RACE) that adjusts app settings at runtime within safe limits and rolls back on failure.

Daily Bench

A dashboard for tracking model performance over time, with emphasis on detecting regressions during peak loads and identifying quality changes across LLM APIs.

What the AI Engineer World's Fair got right about agents (and what I'm still skeptical about) - DEV Community

A backend-focused attendee reflects on the AI Engineer World's Fair, praising emphasis on state management, rigorous evaluation, and disciplined tool design, while skeptical of opaque orchestration and failure-cost benchmarks; the take-home is to enforce idempotency keys and observable step results to ensure reliability in AI agent pipelines.

Is LiteLLM Rust Really 7x Faster? A Closer Look at the Numbers - DEV Community

The article reviews LiteLLM's claims that its Rust gateway is faster and uses less memory than Bifrost, then checks them against LiteLLM's published benchmark files. It flags unclear comparisons, possible configuration differences, missing test details and an incomplete Rust port, while noting that the data does not settle how newer Bifrost versions perform.