GitHub Copilot Alternative: Why I Switched to Claude (and How I Code With It)
Table of Contents
- Why I left GitHub Copilot
- Why Claude became my GitHub Copilot alternative
- Claude vs GitHub Copilot (comparison)
- Learning Claude Code (a 2-hour investment)
- Tips to use AI efficiently and save tokens
- Conclusion
Why I left GitHub Copilot
I used GitHub Copilot happily for a long time. The inline autocomplete is genuinely good, and for a flat monthly fee I always knew what my bill would be.
That changed. On June 1, 2026, GitHub moved every Copilot plan to usage-based billing. Instead of a predictable flat fee, paid plans now run on “GitHub AI Credits” that are metered by token consumption — input, output, and cached tokens — at each model’s API rate. Plain code completions still stay included, but the features I actually relied on (chat, agent mode, agentic refactors) now draw down credits.
Not much difference was there in the sticker price: Copilot Pro remains roughly $10 per month, while Pro+ comes in at about $39 per month. However, what you get for your money diminished, and the regular charge became not a fixed but a fluctuating one. And since I am a freelancer and use chat/agency-based systems for work, the cost went beyond my budget expectations.
For a solo freelancer, predictability matters as much as raw capability. A surprise invoice is a bad month. So I went looking for a GitHub Copilot alternative with a fixed price I could plan around.
Why Claude became my GitHub Copilot alternative
I switched to Claude Pro at $20/month (it’s about $17/month if you pay annually), and it’s been a good fit for how I work.
The two things that sold me:
- It’s a flat, fixed monthly price. No per-token meter, no end-of-month surprise. I know exactly what I’m paying.
- One subscription gives me both Claude chat and Claude Code. I can brainstorm, debug, and write in the Claude chat interface (web, desktop, mobile), and I can run agentic coding sessions in Claude Code (terminal, web, or desktop) — all on the same plan, drawing from the same usage budget.
That second point is the real differentiator for me. With Copilot I was mainly getting an in-editor assistant. With Claude, the same $20 covers a conversational assistant for planning and research and an agentic coding tool that can read my project, make multi-file changes, and run commands. For client work, that combination replaces two tools.
There are usage limits — Claude has the option of using a sliding 5-hour window each week in addition to a weekly maximum that both Claude Chat and Claude Code use together. However, for what I need, which involves only a handful of sessions each day, the budget has been more than sufficient for the task. If I exceed the maximum budget, I can either wait until the next week or pay for additional usage using regular API costs but with an expenditure limit determined by me.
Worth noting: the free Claude plan does not include Claude Code. You need at least the Pro plan to get it.
Claude vs GitHub Copilot (comparison)
Here’s how the two stack up for an individual developer, based on my experience and each product’s current plans:
| Aspect | GitHub Copilot | Claude (Pro, $20/mo) |
|---|---|---|
| Pricing model | Usage-based since June 1, 2026 (AI Credits, 1 credit = $0.01) | Flat monthly subscription |
| Entry price | ~$10/mo Pro (+ metered credits), ~$39/mo Pro+ | $20/mo ($17/mo billed annually) |
| Cost predictability | Variable — token-metered, can spike on heavy use | Predictable — fixed monthly fee |
| Chat interface | Copilot Chat inside your editor | Full Claude chat: web, desktop, mobile |
| Agentic coding | Copilot agent mode (consumes credits) | Claude Code: terminal, web, desktop — included |
| Chat + agentic on one plan? | Both consume metered credits | Yes — chat and Claude Code share one flat budget |
| Inline autocomplete | Excellent, stays included (no credits used) | Not its focus; Claude Code edits files directly instead |
| Usage limits | Monthly AI Credit allotment; overage billed per token | Rolling 5-hour window + weekly cap (shared chat + code) |
| When you hit the limit | Pay per-token overage, or stop | Wait for reset, or opt in to extra usage at API rates with your own cap |
| Best for | In-editor autocomplete and editor-native chat | Conversational planning plus agentic, multi-file coding |
To be fair to Copilot: its inline completions are still first-class and remain free of metered credits, and if you mostly want tab-to-complete inside your IDE, it’s hard to beat. My switch is about my workflow — I get more value from a conversational, agentic assistant at a price I can predict.
Learning Claude Code (a 2-hour investment)
Since Claude Code is a CLI application, there was a bit of a learning curve involved. I took some time to watch tutorials on YouTube and try out Claude Code on an actual project.
That felt like a chore at first, but it turned into one of the more useful things I did this year. Learning the tool properly didn’t just teach me Claude Code — it taught me how to work with an AI coding agent efficiently, which makes every session faster and cheaper. Two hours up front has paid for itself many times over.
From Copilot, your transition would be this: while Copilot mainly focuses on finishing your line of code, Claude Code would be more like working with a junior programmer who not only understands your code but is also able to implement the changes that you require in multiple files based on good instructions.
Tips to use AI efficiently and save tokens
These are the habits that made the biggest difference for me, both for output quality and for stretching my usage window:
- Give context once, not every message. Add a project context file (a
CLAUDE.mdin your repo) describing your stack, conventions, and key commands. The agent reads it automatically, so you stop re-explaining your codebase every session. - Point to files instead of pasting them. Reference a path and let the tool read what it needs, rather than dumping whole files into the conversation. Less wasted context, sharper answers.
- Plan before you execute. For anything non-trivial, ask for a plan first, review it, then let it run. It catches wrong assumptions before they turn into a messy diff you have to clean up.
- Keep sessions focused. Start a fresh session for an unrelated task instead of dragging a long, off-topic history along. A bloated context costs more and degrades answers.
- Match the model to the task. Use a lighter, faster model for routine edits and boilerplate; save the heavyweight model for genuinely hard problems.
- Batch related work. Since the usage window is time-based, group related questions and changes into one focused stretch rather than scattering them across the day.
- Be specific. “Fix the bug” costs a round of clarifying questions. “The date parser in
utils/time.pyreturns UTC instead of local time — fix it and add a test” gets it right the first time.
The theme across all of these: clear, well-scoped prompts produce better results and use fewer tokens. Efficiency and quality pull in the same direction.
Conclusion
For me, the move from GitHub Copilot to Claude came down to two things: a predictable flat price and getting both a chat assistant and an agentic coding tool on one $20/month plan. The usage limits are real, but for a freelancer doing focused daily work, they’ve been comfortable.
Copilot is a great tool, particularly for autocomplete within the editor, and the correct choice is dependent on your workflow. However, if your expenses have been rising following the new billing model, the best GitHub Copilot alternative will probably be a paid service with a flat fee that has an actual coding bot you can talk to, and this is precisely what convinced me to go with Claude. Allocate two hours to getting to grips with Claude Code; it’s the best use of my time recently.
See also:
- Best Proxies for Web Scraping — if web scraping is part of your freelance work, here’s the proxy setup I rely on
- GitHub Token Authentication on macOS — another small developer-workflow fix that saves time