I've been loving Claude Code on the web

Original Article ↗ Hacker News Discussion ↗

Developers compare Anthropic’s Claude Code—especially its new web-based environment—with rival tools like OpenAI’s Codex, Gemini, and various open-source/CLI setups, highlighting trade-offs between raw code quality, speed, tool integration, and ergonomics. Many praise Claude Code’s agentic behavior, tight Git workflows, and “pair programmer” feel, but note serious performance bugs, limited devcontainer support, and weaker web capabilities compared to the CLI. A recurring theme is that LLM tooling and workflow design now matter as much as model quality, influencing everything from how teams ship features remotely to how newcomers should think about learning to code in an AI-assisted world.

Capabilities & Use Cases

  • Many commenters like Claude Code Web for “vibe coding” away from a full dev setup (iPad/phone, couch, travel), quick MVPs, speculative changes, and exploratory work.
  • Typical flows: clone repo → make change → run tests (when tools allow) → push branch/PR; some pair it with automatic review app deployments for instant previews.
  • Git as “memory” plus PRs as a human-review gate is seen as a strong pattern, especially for team workflows and non-developers (marketing, product, students) building small tools.

Environment & Tooling Limitations

  • Lack of devcontainer support and a closed set of languages/tools frustrate some users; installing custom tools can be slow and repeated per interaction.
  • Several people prefer alternatives that give full container/VPS or local environments (Hetzner, Cloudflare containers, custom VPS products, Replit’s NixOS setup) for Docker, docker-compose, Playwright, R, etc.
  • Some want MCP support and a public API so Claude Code Web could orchestrate broader automations.

CLI vs Web & Engineering Quality

  • The CLI is praised for tool use but heavily criticized for bugs: memory leaks, high CPU, infinite loops, context leaks, flashing UI, and a single large JSON store causing severe slowdowns.
  • One view is that Anthropic’s research is strong but engineering and tooling quality lag; others counter that despite flaws, no other agentic coding tool matches Claude Code’s overall usefulness.

GitHub Behavior & UX

  • Concern that Claude Code pushes branches/PRs too eagerly to public repos, exposing speculative work; users want explicit authorization before pushing (Codex is cited as better here).
  • Some note you can configure Claude Code to commit under your own identity and disable “co-authored-by” metadata.

Comparisons: Codex, Gemini, Others

  • Many feel GPT‑5 Codex is more capable and reliable on complex tasks, but slower, costlier, more “robotic,” and prone to over-scoped changes and long one-shot attempts.
  • Claude (Sonnet/Opus) is seen as faster, more conversational, better at narrow edits and tool use, but less consistently correct on hard problems.
  • Gemini is viewed as strong for front-end/design but worse at following global instructions and more prone to confident hallucinations.
  • Some route Claude Code tooling through other models (DeepSeek, Qwen, GLM) or use alternative CLIs (Crush, Qwen CLI, Grok, Replit) to optimize cost and behavior.

Broader Reflections & Education

  • Debate over whether web IDEs/LLM agents make traditional IDEs obsolete; consensus leans toward hybrid workflows and future IDEs becoming LLM frontends.
  • One student asked if they should drop a Data Analytics degree due to AI tools; advice given: finish the degree—core programming and analytics skills still matter and enhance AI-assisted productivity.