{"slug": "is-it-just-me", "title": "Is it just me", "summary": "A developer argues that AI coding tools like Claude Code are locked behind paywalls, creating an uneven playing field where junior developers and students with free or lower-tier access cannot match the productivity of those using high-token-limit agents. The author proposes a DIY workflow using open-source tools and cheaper API calls to simulate agentic behavior, but notes that paid tiers still offer superior deep-dive capabilities, such as feeding an entire 50-file repository into the context window.", "body_md": "# Is it just me\n\n[Claude Code](/en/tags/claude%20code/)—are locked behind a paywall. If you're a junior dev or a student, you're fighting an uphill battle against someone who has a high-token-limit agent doing the heavy lifting in the background.\n\nTo get a real sense of how this impacts a workflow, you have to look at the difference between a standard chat interface and a terminal-based agent. When you're using a tool like [Claude](/en/tags/claude/) Code, you aren't just copying and pasting snippets; the agent is reading your file tree, running tests, and iterating on its own mistakes.\n\nIf you're trying to mimic this \"agentic\" power without spending a fortune, you have to get creative with your AI workflow. Here is a basic setup I use to simulate that agentic loop using open-source tools and cheaper API calls:\n\n## DIY Agentic Workflow Setup\n\n1. **Install an MCP (Model Context Protocol) server.** This allows your LLM to actually \"see\" your local files instead of you manually uploading them.\n\n2.\n\n**Use a CLI wrapper.** Instead of the web UI, use a terminal tool that can pipe shell output back into the prompt.\n\n3.\n\n**Create a \"System Loop\" prompt.** Use a prompt that forces the AI to think in terms of\n\n`Plan`\n\n-> `Execute`\n\n-> `Verify`\n\n.Here is the prompt structure I use to force a standard LLM to act more like a high-tier agent:\n\n```\nYou are an autonomous coding agent. For every request:\n1. ANALYZE: Read the provided file context and identify the exact line numbers causing the issue.\n2. PLAN: Write a step-by-step plan of the changes required.\n3. EXECUTE: Provide the full code block for the modified file.\n4. VERIFY: Describe exactly how I should run a test command to verify the fix.\nDo not provide conversational filler. Only output the structured blocks.\n```\n\nThe productivity gain from this is huge, but it's still a manual process. You're basically acting as the \"human router\" for the AI, whereas a paid agent handles that routing automatically.\n\nThe real-world gap is in the \"deep dive\" capabilities. A candidate with the Max tier can feed an entire 50-file repository into the context window and ask, \"Where is the state management breaking?\" and get an answer in seconds. A candidate on a free or lower tier has to spend twenty minutes manually searching for the relevant files to paste into a prompt.\n\nWe need to stop treating \"knowing how to use AI\" as a generic skill and start recognizing that the quality of the tool—and the price of the subscription—directly affects the output. Prompt engineering only gets you so far if the model can't see the rest of the project.\n\n[Next Why does every single note-sharing tool force a signup? →](/en/threads/6047/)\n\n## All Replies （0）\n\nNo replies yet — be the first!", "url": "https://wpnews.pro/news/is-it-just-me", "canonical_source": "https://promptcube3.com/en/threads/6093/", "published_at": "2026-08-12 23:48:06+00:00", "updated_at": "2026-08-12 23:48:34.424667+00:00", "lang": "en", "topics": ["ai-tools", "developer-tools", "artificial-intelligence"], "entities": ["Claude Code", "Claude"], "alternates": {"html": "https://wpnews.pro/news/is-it-just-me", "markdown": "https://wpnews.pro/news/is-it-just-me.md", "text": "https://wpnews.pro/news/is-it-just-me.txt", "jsonld": "https://wpnews.pro/news/is-it-just-me.jsonld"}}