Best GitHub Copilot alternatives in 2026

April 24, 2026 is the day GitHub Copilot starts using Free, Pro, and Pro+ user data to train its AI models by default. Code context, file names, repo structure, and comments all feed the pipeline unless you find the toggle and flip it. GitHub announced the change on March 26. The announcement got 172 downvotes on GitHub's own community forum. It is still shipping.

If you were looking for the moment to pick a GitHub Copilot alternative, this is it. This guide walks through the six options worth considering, what each one is for, and why we think architectural privacy beats opt-out toggles every time.

We are opinionated. Architectural privacy (local inference, no data transmission) is a different category than policy-enforced privacy (a checkbox you hope the vendor respects). If your reason for leaving Copilot is that you do not want your code used for training, the answer is not to find a similar cloud tool with a better policy. It is to not send your code anywhere in the first place.

Why developers are leaving GitHub Copilot in 2026

Four reasons, stacked.

The April 24 training policy. Free, Pro, and Pro+ tier interaction data now feeds GitHub's AI training pipeline by default. You can opt out. You have to find the setting yourself. The default matters more than the setting exists. Our full breakdown: GitHub Copilot is training on your code by default. Here is how to opt out.

The plugin model. Copilot has no standalone app. It bolts onto VS Code, JetBrains, or Visual Studio. Features vary by which IDE you use. Switch editors and you lose capabilities. Agent mode and edit mode are only available on select platforms. If you want a coherent AI coding environment, a plugin on top of three different editors is a compromise.

The code churn data. GitClear's analysis of 211 million lines of code found that code churn jumped from 5.5% to 7.9% as AI assistant adoption grew. Duplicated code blocks rose eightfold in 2024. Refactoring hit historic lows. A separate survey found 75% of senior engineers reported spending more time correcting AI suggestions than they would have spent coding manually. Copilot's agent mode has been panned for 90-second spin-up waits and poor multi-step task completion. The productivity story is more complicated than the marketing.

API suspension and per-token billing. On April 20, 2026, GitHub suspended new sign-ups for the Copilot API and started migrating Copilot Enterprise from flat-rate to per-token billing. If your team built internal tooling on the Copilot API, the bet just got riskier. Tightening access, not expanding it.

What to look for in a Copilot alternative

Filter by three axes: privacy model, form factor, and pricing model.

• Privacy model. Architectural (local inference, no transmission) beats policy (opt-outs, Privacy Mode toggles). If your code never leaves your machine, nobody can train on it, leak it, subpoena it, or change the default later. Our air-gap page explains the enforcement model.
• Form factor. Plugin, VS Code fork, or standalone app. Plugins are the easiest switch from Copilot because you keep your IDE. Standalone apps give you a coherent environment with no host-editor telemetry to manage.
• Pricing model. Subscription, BYOK, or one-time. Over three years of use, a $10/mo Copilot Pro seat is $360. Copilot Enterprise at $39/user/mo is $1,404 per developer. A free or $39 one-time license covers all of it, forever. See our 3-year cost analysis for the full numbers.
• Permission model. Ask, Plan, Act. Copilot's agent mode does not ship with an explicit permission tier. An autonomous agent that can write files without a confirmation layer is a liability, especially if it is also churning code by 44% more than manual editing.
• BYOLLM. You should be able to switch models the day a better one ships, not the day Microsoft decides to add it to your tier. Our BYOLLM page explains the 10+ providers we cover.

The best GitHub Copilot alternatives in 2026

1. Bodega One Code (local-first, free for personal use, standalone IDE)

Bodega One Code is the cleanest escape from Copilot's entire stack: cloud dependency, subscription, plugin architecture, and training policy. Standalone Electron 40 desktop app with Monaco editor, AI chat, and an autonomous coding agent. Windows, macOS, Linux.

The Quality Enforcement Layer runs five-step verification on every agentic task. The agent checks its own output before it can mark anything complete. That directly addresses the GitClear churn problem: the AI is not allowed to hand you code it cannot verify. Most agent tools write and hope. This one writes and checks.

BYOLLM covers 10+ provider presets including Ollama, LM Studio, OpenAI, Anthropic, Groq, Together AI, OpenRouter, and more. Switch models per conversation. No tier gating.

Air-gap mode enforces nine independent layers blocking all outbound network connections. This is architectural, not a policy. There is no setting for GitHub to flip at 12:01 AM on April 24. Your code cannot be transmitted to train anyone's model because the app cannot make outbound connections in air-gap mode.

Pricing: Free for Personal use (1 machine) or $39 one-time for Pro (2 machines, commercial license). No subscription. No per-seat renewal. One Pro license costs less than one month of Copilot Business.

The honest cons: we are pre-launch. Beta is free and open to everyone. Full launch coming later this year. We are not open source. If open source is a hard requirement, other options on this list fit better.

Verdict: the cleanest answer to the April 24 policy. If your reason for leaving Copilot is that you do not want your code transmitted, a tool that cannot transmit it is the architectural fit. Full breakdown: Bodega One Code vs GitHub Copilot.

2. Cursor (cloud IDE, $20-$200/mo)

Cursor is the market-leading standalone AI IDE. VS Code fork, built-in chat, multi-file edits, polished UX. Pro is $20/mo, Pro+ is $60/mo, Ultra is $200/mo.

Switching Copilot for Cursor solves the plugin problem. It does not solve the training-data problem cleanly. Privacy Mode exists and stops training on your code, but your code still routes through AWS before reaching Anthropic or OpenAI. Two CVEs were patched in August 2025 (CVE-2025-54135 and CVE-2025-54136), both rooted in the cloud-brokered architecture. In Cursor 3 (April 2026) and CEO Michael Truell's “Third Era of AI Software Development” essay (February 26, 2026), Cursor explicitly demoted the IDE to a fallback, making agent management the primary surface.

Cursor also added Bugbot in 2026 -- a PR review feature now billed on a usage meter inside the Individual tier (it started as a separate $40/user/month add-on; Cursor moved it inline by May 2026). Teams paying $20-$200/month for the editor now face metered charges on top of every reviewed PR.

Verdict: if you were using Copilot because you wanted a coherent AI editor and did not mind cloud, Cursor is the upgrade. If you were using Copilot because it was cheap, Cursor is more expensive on every axis. Full comparison: Cursor alternatives and our Cursor alternatives guide.

3. Continue.dev (free, open source, VS Code extension)

Continue.dev is the fastest possible switch from Copilot. Free, open source, Apache 2.0, BYOK. Installs as a VS Code or JetBrains extension. Connects to any OpenAI-compatible endpoint: Ollama, cloud providers, your own API keys.

For privacy, point it at a local Ollama instance. Your code stays on your machine. VS Code itself has telemetry you need to configure separately, but the Continue extension does not phone home.

Feature set: autocomplete, chat, file editing, terminal tools. Not as polished as Cursor or Bodega One Code. Good enough for most developers coming from Copilot who were already living inside VS Code.

Verdict: the right answer if you want out of Copilot today, you are fine staying in VS Code, and you want the cheapest option that respects your code. If you are the kind of person who wants one installer and a working environment out of the box, a different option on this list is a better fit.

4. Kilo Code (free VS Code extension, BYOK)

Kilo Code is an Apache 2.0 extension forked from Cline via Roo Code. The core is free. The cost starts to stack with KiloClaw ($55/mo standard hosted agent) and KiloPass credits ($19-$199/mo). Pure BYOK users with existing API access pay nothing ongoing beyond their inference costs.

Switching from Copilot to Kilo Code works if you are comfortable configuring your own API keys and skipping the hosted services. You get an active community, a growing feature set, and no monthly fee. You also get the same VS Code host editor as Copilot, so if your reason for leaving was plugin fatigue, this does not solve that.

Verdict: a good fit for BYOK users who want a free extension with momentum. Avoid the hosted services unless you have a specific reason. Full breakdown: Kilo Code alternatives and our cost analysis.

5. Tabnine (enterprise-only, $39/user/mo)

Tabnine has been in this market since 2017. That is the longest track record here. It is also the reason Tabnine no longer has an individual developer plan. The free tier was killed in April 2025. The individual Dev plan was eliminated on October 16, 2025 (release 5.24.0). Today Tabnine is enterprise-only. Code Assistant starts at $39/user/month. Agentic Platform is $59/user/month.

For what it is, Tabnine is a credible enterprise choice. On-prem deployment, air-gap support, a mature model management layer, and explicit privacy guarantees. The problem is that it is priced for enterprises, not individual developers, which is the exact audience Copilot sells to.

Verdict: a real option for enterprise teams that need on-prem AI coding with a vendor contract. Not a realistic switch for individual developers leaving Copilot Pro. Full breakdown: Tabnine alternatives.

6. Windsurf (cloud IDE, Cognition-owned)

Windsurf is a polished cloud IDE with the Cascade multi-file editing feature and competitive pricing at $20/mo (Pro). The caveat: Google poached the founding CEO and co-founder in a $2.4B licensing deal in July 2025, and Cognition AI (the Devin team) acquired the remaining entity for around $250M days later.

Switching from Copilot to Windsurf is switching from one cloud AI tool with a questionable data policy to another cloud AI tool with fresh acquisition risk. Your code still goes to cloud servers. You still pay monthly. The training-data question is now a Cognition question, not a Microsoft question.

Verdict: a reasonable choice only if you want a polished cloud IDE right now and the Cursor alternative path does not appeal. If your reason for leaving Copilot was the training-data policy, this does not address the category of problem. Full breakdown: Windsurf alternatives.

Comparison table: GitHub Copilot alternatives in 2026

“Can I just opt out of the training policy?”

Yes. And we still do not recommend it as a strategy.

The opt-out works like this: GitHub surfaces a prompt in VS Code around the April 24 cutover. You can also navigate to your GitHub settings and turn off the data-sharing toggle manually. Our full walkthrough has the exact steps.

The reason we do not recommend stopping there: the default is the signal. GitHub defaulted users in, not out. That tells you what the roadmap looks like. A policy toggle you have to find and remember is weaker than an architectural property that cannot be changed without your knowledge. The opt-out is a stopgap. Architectural privacy is the fix.

There is also a second-order issue: Copilot's agent mode still sends code context to Microsoft servers to function at all. Training is one use of that data. Internal analytics, product improvement, and future policy changes are others. You do not control any of them.

Which GitHub Copilot alternative should you pick?

If your reason for leaving is the training policy specifically → Bodega One Code. Architectural privacy, not opt-outs. Download free.

If you want out today and the fastest switch → Continue.dev with Ollama. Free, installs in minutes, BYOK.

If you want a polished standalone IDE and cloud is fine → Cursor. Know you are picking a different cloud vendor, not escaping cloud.

If you are an enterprise team with compliance requirements → Tabnine or Bodega One Code Enterprise (coming at launch).

If you want a VS Code extension with community momentum and BYOK → Kilo Code. Skip the hosted services.

If you need a cloud IDE and Cursor specifically bothers you → Windsurf. Understand the acquisition risk.

FAQ

Does the Copilot training policy apply to Enterprise?

Copilot Business and Enterprise tiers have separate privacy terms that restrict training on user data. The April 24 change applies specifically to Free, Pro, and Pro+ tiers. If you are on an individual or small-team plan, you are affected.

Is Continue.dev actually private?

Continue.dev itself does not send your code to any server. What the extension does depends on which model provider you connect it to. Pointed at a local Ollama instance, your code stays local. Pointed at OpenAI or Anthropic, your code is subject to their respective policies. Privacy is a function of your configuration.

What models does Bodega One Code support for coding?

Any OpenAI-compatible endpoint. For local use, Qwen3.6-27B (77.2% SWE-bench Verified, current top local coding model) via Ollama is our top recommendation. For cloud, Claude Sonnet 4.6 and GPT-5.5 are the current defaults. The local LLMs page has current model rankings and VRAM requirements.

Can I run Bodega One Code fully offline?

Yes. Air-gap mode enforces nine independent layers blocking network egress. Works on a laptop with no internet connection, in an air-gapped environment, or on a flight. The agent runs locally against your local model with zero outbound calls.

When is Bodega One Code available?

Beta is free and open to everyone. Full launch coming later this year. Download free.

The April 24 switch

The default is the signal. GitHub defaulted you in. That is the decision that matters.

Every alternative on this list is a different trade-off, and the right answer depends on what you actually need. If it is architectural privacy with no subscription and a full IDE, download Bodega One Code free. Beta is open to everyone. If it is the fastest possible switch with no budget, install Continue.dev tonight and point it at a local Ollama instance. Either way, you do not need to be training GitHub's models starting tomorrow.