HRs spend only 7.4 seconds per resume, so a 1‑page IT CV must be dense and clear for fresh graduates, while mid‑level engineers can flexibly use 1‑2 pages and senior staff should aim for 2 pages to showcase strategy and impact, with concrete examples, layout tricks, and common pitfalls explained.
TimechoAI, the cloud service built on the Timer time‑series large model, offers the latest SOTA model (Timer‑3.5) alongside classic baselines, supports multiple data input methods, covariate integration, and API/SDK access, and invites industrial and IoT teams to test its predictive maintenance, production optimization, energy load forecasting, and anomaly detection capabilities through a simple invitation process.
The article explains how to transform a single business request into a batch of AI‑generated marketing visuals by standardizing deterministic design structures, parameterizing variable elements, and building an end‑to‑end “input‑generate‑deliver” workflow that ensures both large‑scale consistency and sufficient visual individuality across multiple product categories.
The article shows how repetitive CRUD code in Gin can be refactored with Go 1.18 generics by defining a Creatable interface, writing a single generic CreateHandler, using factory functions and type constraints, and registering routes in one line, resulting in zero duplicate code and clearer responsibilities.
This article presents seven advanced techniques for writing CLAUDE.md files—keeping them under 200 lines, optimizing the first 30 lines, separating hard rules from preferences, adding anti‑patterns, defining quality criteria, using progressive imports, and recursively scoping files—to maximize Claude Code’s productivity and reduce AI drift.
The author recounts how using Codex to analyze JavaGuide's performance triggered a site-wide outage, then details the step‑by‑step investigation—from cache misconfigurations and hashed asset handling to a VuePress hydration bug—and shares practical lessons on combining AI assistance with disciplined engineering practices.
StreakMind, developed by the Spanish Royal Navy Academy’s observatory, combines real and synthetic astronomical images to train a YOLO‑11 oriented‑bounding‑box detector that robustly identifies satellite and asteroid streaks, achieving 94% precision and 97% recall on an independent test set of 273 images, and automatically integrates results into a standardized MPC database.
Nacos 3.2 evolves from a micro‑service registry into a unified AI asset governance platform, introducing AI Registry, MCP Registry with declarative protocol conversion, a three‑layer Skill security sandbox, Copilot assistance, and A2A integration to make AI capabilities manageable, auditable and reusable across the enterprise.
The paper identifies real‑time latency as the main obstacle for deploying VLA models on robots, proposes the TTFA metric and the FASTER framework with a Horizon‑Aware Schedule, mixed scheduling and streaming inference, and demonstrates through extensive GPU and task experiments that TTFA and reaction time can be cut by up to three‑fold without sacrificing motion quality.
The recent SGLang × MUSA meetup revealed that MUSA’s GPU backend has been merged into SGLang’s official codebase, delivering zero‑learning‑cost integration, performance gains of up to 66 % on DeepSeek‑V4, and a growing ecosystem of adapters, high‑performance kernels, and distributed inference support.
Within three weeks of GPT‑5.5’s launch, internal code for GPT‑5.6 surfaced, prompting OpenAI to unveil a 2‑3× “ultrafast” mode and a two‑month free Codex offer worth $400 to lure Claude Code users, sparking a high‑speed AI competition with Anthropic’s Opus 4.7 Fast and highlighting a self‑reinforcing acceleration loop toward ASI.
The article analyzes how the rapid commoditization of large‑model capabilities reshapes AI competition, arguing that the true moat lies not in the models themselves but in deep ontology‑driven infrastructure that can guarantee trustworthy outcomes in high‑risk enterprise scenarios, as illustrated by Palantir’s strategy.
The article dissects Claude Code's Skills system, showing how a lone SKILL.md file, combined with a five‑layer file‑system scope, inode‑based deduplication, conditional activation, plugin integration and incremental injection, enables zero‑code extensibility while managing token consumption for LLM agents.
Oracle announced MySQL 9.7.0 LTS, the first major LTS since 8.4, introducing community‑available enterprise features such as the Hypergraph optimizer, dynamic data masking, enhanced replication observability, and new operational tools, while addressing community concerns about Oracle’s commitment and recent development slowdown.
The article analyzes how Anthropic’s OAuth lock‑down and tighter managed‑agent limits spurred 157,000 developers to adopt the open‑source OpenCode toolchain, weighing vendor‑neutral portability against the integrated power of Claude Code and examining the strategic trade‑offs behind the shift.
Lee Tusman recreated the classic Vi editor in a few hundred lines of Yabasic, building a minimal, 80‑character‑wide text editor that can open, create, and save files, while reflecting on his artistic background, motivations, and future enhancements.
This step‑by‑step guide shows how to create a specialized four‑agent system—research, production, quality, and distribution—coordinated by an orchestrator, using Claude and Claude Code, with detailed folder structures, prompt templates, CLI commands, and workflow automation to achieve high‑quality content output in a weekend.
KAIST researchers introduced Agent‑X, a pure‑software acceleration framework that eliminates prefill and decode bottlenecks on mobile devices, achieving a 1.61× end‑to‑end speedup for on‑device AI agents without any loss in task accuracy.
I²B‑LPO is an exploration‑enhancement framework for RLVR that branches rollouts at high‑entropy nodes, injects latent variables via pseudo self‑attention, and filters paths with an information‑bottleneck self‑reward, achieving up to 5.3% accuracy and 7.4% diversity improvements on multiple math reasoning benchmarks.
The VGGT series from KOKONI 3D and collaborators tackles three core 3D perception limits—unbounded sequence memory, dynamic‑static entanglement, and compute‑precision trade‑offs—by introducing StreamCacheVGGT, progressive decoupling, and HD‑VGGT, achieving O(1) memory streaming, 15%+ accuracy gains on dynamic benchmarks, and record‑high AUC on RealEstate10K.
