Java backend, microservices, distributed systems, containerized programming, and more.
Although Spring Boot remains the most used Java framework (14.7% of developers per Stack Overflow) its mindshare dropped from 40.3% to 29.2%, prompting a shift from learning how to write code to learning how to review AI‑generated Spring Boot projects.
The author compares Claude 4.8 (Opus) and Codex 5.5 across SWE‑bench Pro (69.2% vs 58.6%) and Terminal‑Bench (78.2% vs 74.6%), highlighting Claude’s larger 1 M‑token context, higher accuracy on complex multi‑file tasks, and higher cost, while Codex offers faster, cheaper terminal‑focused performance, recommending each for specific scenarios.
The author shares seven practical techniques to keep Claude Code effective, including keeping CLAUDE.md concise, using Plan Mode with Shift+Tab, running parallel sessions via git worktree, enforcing validation steps, clearing stale context, restricting dangerous commands in settings, and automating repeatable tasks with a SKILL.md file.
This article introduces the open‑source “book-to-skill” tool that compiles technical books into a Claude Code skill, enabling terminal queries that return answers from the actual book content while keeping token usage low and avoiding AI hallucinations.
TencentDB Agent Memory, an open‑source hierarchical memory system for long‑running AI agents, offloads tool calls, structures short‑term and four‑layer long‑term memories, and reduces token consumption by 61% while raising task success rate 51% and persona accuracy from 48% to 76%, all running locally with SQLite and no API keys.
OpenAI's recent Codex update adds true Computer Use support on Windows, letting the model see the screen, click buttons, type, and control desktop applications, with a simple @Paint or @computer prompt, though it runs in the foreground and requires ChatGPT Plus or higher.
The article compares Claude Opus, OpenAI Codex, and Zhipu's open‑source GLM‑5.1, detailing their strengths, benchmark results, pricing, and ideal use cases, and recommends routing tasks to the model that best fits the complexity and language requirements.
In 2026, ATS and AI screening filter out generic resumes, making GitHub links, quantified project results, and clear AI tool usage essential, while vague buzzwords, missing salary expectations, and poorly formatted PDFs dramatically reduce interview chances.
This article reviews eleven Claude Code Skills, explaining how each plugin—such as Superpowers, planning‑with‑files, frontend‑design, and Commit Helper—adds structure, memory, and automation to AI‑assisted development, and offers practical recommendations on which to install first.
Anthropic abruptly suspended all Claude accounts for a 110‑person ag‑tech firm after detecting a policy breach by a single user, leaving the team unable to log in, the API still billing, and receiving no support, which exposed systemic flaws in automated risk controls and AI‑driven cloud workflows.
