Tag

Coding Tools

All articles tagged with #coding tools

Claude Code shines in quick-app builds, but Codex dominates with deeper analytics
technology9 days ago

Claude Code shines in quick-app builds, but Codex dominates with deeper analytics

Two AI coding assistants, Claude Code and OpenAI Codex, were put to the test building three real apps: a subscription tracker, a grocery‑price comparison tool, and a big‑purchases financing calculator. Claude Code delivered a production‑ready app quickly with an intuitive UI and flexible entry methods, while Codex favored deeper analytics and feature‑rich dashboards but required more setup. Verdict: Codex wins on long‑term capability and analytical depth, though Claude Code feels more approachable for fast, beginner‑friendly builds.

Open-Laptop AI Crafters Keep Agents Running in Public
technology14 days ago

Open-Laptop AI Crafters Keep Agents Running in Public

AI enthusiasts walk through airports, offices, and school halls with laptops cracked open so their AI agents—powered by tools like Claude Code and OpenAI Codex—keep running even when Wi‑Fi falters or sessions would normally end. Eight open-laptop walkers describe how they manage longer coding sessions in public, the social reactions, and the meme status of the practice: some keep it barely ajar to be discreet, others showcase it proudly as they chase productivity and ship software from hallway to bus stop. The phenomenon highlights how AI tools are reshaping workflows and prompting lighthearted scrutiny from onlookers.

Autonomous AI Tools Spark AWS Outages, Prompting Production-Risk Scrutiny
technology3 months ago

Autonomous AI Tools Spark AWS Outages, Prompting Production-Risk Scrutiny

Financial Times reports that at least two AWS outages were tied to in-house autonomous AI tools, including the Kiro coding assistant, which allegedly deleted and recreated an environment in December, triggering a 13‑hour disruption. Engineers reportedly granted operator‑level permissions and approved changes without human review, with AWS calling it user error rather than an AI failure. Experts warn AI tools can hallucinate and require stronger guardrails, as firms push AI into production despite reliability concerns.

DIY Local AI Coding Stack: Goose, Ollama, and Qwen3-coder Run Offline on Mac
technology3 months ago

DIY Local AI Coding Stack: Goose, Ollama, and Qwen3-coder Run Offline on Mac

A ZDNet piece tests a fully free, offline coding AI stack built from Goose (an open‑source agent framework), Ollama (an LLM server), and the Qwen3-coder model to compete with Claude Code. The setup runs on a Mac (with 128GB RAM) using a 17GB Qwen3-coder:30b model and a 32K context, avoiding cloud sign‑ins. After installing Ollama, exposing it to the network, and configuring Goose to use the Qwen3-coder model, the author tests a simple WordPress plugin: results improve after several iterations but are not flawless yet. The article notes this local combo can approach paid options in some respects, but remains early in its development, with further deep dives and larger-project tests promised in upcoming installments.

Replit Eyes $9B Valuation in Major AI-Coding Funding Round
technology4 months ago

Replit Eyes $9B Valuation in Major AI-Coding Funding Round

Replit Inc., an AI-powered coding startup, is nearing a financing round that could push its valuation to about $9 billion, with roughly $400 million being discussed and Georgian leading the round; this follows a $250 million funding round at a $3 billion valuation in September. Backers include Amex Ventures, Google’s AI Futures Fund and Bloomberg Beta. Replit has built vibecoding tools for developers and recently released AI features to deploy apps and publish to app stores, while facing competition from OpenAI, Anthropic, Microsoft and Cursor.

technology9 months ago

Overcoming Imposter Syndrome as an AI 10x Engineer

The article discusses the realistic impact of AI, particularly large language models, on software engineering productivity, emphasizing that while AI can significantly aid in coding and debugging, claims of 10x improvements are often exaggerated. It highlights the current limitations, such as AI's tendency to hallucinate or produce incorrect code, and suggests that AI's true value lies in assisting discovery, learning, and automating tedious tasks rather than replacing skilled engineers entirely.

technology10 months ago

Uncertainty Surrounds AI Construction Methods

The article discusses the current challenges and opportunities in building with AI, emphasizing the importance of clear problem articulation, the evolving role of AI in coding, and the need for understanding underlying systems despite AI's capabilities. It highlights both the excitement and skepticism around AI's impact on software development, the shift in skills required, and the potential for AI to transform traditional workflows while raising concerns about quality, trust, and the future of human expertise.