GitHub Copilot Supported Languages: The Complete 2026 List
Copilot supports basically every modern programming language. Quality varies. Here's the realistic 2026 breakdown by tier.
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GitHub Copilot supports virtually every modern programming language, with the strongest results in JavaScript, TypeScript, Python, Go, Java, C#, C++, Ruby, PHP, Rust, Kotlin, Swift, and SQL. It also handles HTML, CSS, YAML, JSON, Markdown, Dockerfiles, Terraform / HCL, and shell scripts well. Completion quality scales with how much of that language exists in public training data.
The honest answer is: if it's a language with meaningful presence on GitHub, Copilot supports it. The interesting question isn't which languages work — it's where the quality is highest. Here's the realistic breakdown.
Tier 1 — Strongest Coverage
JavaScript, TypeScript, Python, Java, C#, Go, Ruby, PHP. These have the largest public-code footprints, the most modern frameworks well-represented, and Copilot's inline suggestions reliably feel right. Function-level generation, library-API recall, and idiomatic patterns all work well. If your team writes any of these, Copilot is at its strongest.
Tier 2 — Well-Supported
C++, Rust, Kotlin, Swift, SQL, HCL (Terraform), Bash, PowerShell, R, Dart, Scala. Inline completion is solid, function-level generation usually works, and Chat is fluent. For Rust and Kotlin specifically, the quality has improved sharply in the last year as ecosystem growth shows up in the training data.
Tier 3 — Workable
Elixir, Haskell, Clojure, F#, OCaml, Julia, Lua, Crystal, Nim, Perl, Erlang. Copilot can write working code in these but tends to need more correction. For idiomatic patterns and library-specific calls, double-check before accepting. Function-level generation is more variable.
Markup, Config, and IaC
HTML, CSS, SCSS, YAML, JSON, TOML, XML, Markdown, Dockerfiles, GitHub Actions workflows, Kubernetes manifests, Terraform, Pulumi. These are surprisingly strong areas for Copilot — boilerplate-heavy work is exactly where AI completion shines. Many teams report config and IaC as their highest-ROI Copilot use case.
Niche, Domain-Specific, and Older Languages
COBOL, Fortran, Ada, Verilog, VHDL, SAS, MATLAB, Assembly (x86/ARM). Copilot can generate syntactically valid code in all of these but reasoning quality is meaningfully lower. Use it as a starting draft, not a finished output. For mainframe modernization work, treat Copilot as a junior pair, not a senior.
Does Plan (Free/Pro/Business/Enterprise) Affect Language Support?
No — language coverage is identical across tiers. What changes between Pro, Business, and Enterprise is policy controls (public-code-match blocking, IP indemnity), admin features, agent capabilities, and access to private-repo context (Enterprise only). The underlying inline-completion model and language footprint are the same.
Need Copilot for a polyglot engineering team? See Copilot pricing or contact us for volume seats.
Frequently Asked Questions
Common questions related to this guide — sourced from real searcher queries.
GitHub Copilot supports virtually every modern programming language, with the strongest results in JavaScript, TypeScript, Python, Go, Java, C#, C++, Ruby, PHP, Rust, Kotlin, Swift, and SQL. It also handles HTML, CSS, YAML, JSON, Markdown, Dockerfiles, and shell scripts well. Quality scales with how much of that language exists in public training data.
For full code generation (function-level), GitHub Copilot is strongest in Python, JavaScript, TypeScript, Go, Java, C#, Ruby, and PHP. It generates working code in C++, Rust, Kotlin, Swift, SQL, HCL, and Bash, and produces useful completions in HTML, CSS, YAML, and SQL.
Yes — Rust is a well-supported Tier 2 language for GitHub Copilot. Inline completion is solid, function-level generation usually works, and Copilot Chat is fluent in idiomatic Rust patterns. Quality has improved sharply over the last 12 months as the Rust ecosystem's GitHub footprint has grown.
Yes — Copilot handles SQL well across PostgreSQL, MySQL, SQL Server, SQLite, and Snowflake / BigQuery dialects. It's particularly strong on query drafting from natural-language descriptions in comments. Performance depends on having representative context (table definitions, examples) open in your editor.
Copilot can generate syntactically valid COBOL, Fortran, Ada, and Assembly, but reasoning quality on legacy languages is meaningfully lower than on modern languages. Treat output as a starting draft to review, not a finished implementation. For mainframe modernization, pair Copilot with senior review.