Google Bard learns to code across 20+ languages

If you tried Google Bard at launch and asked it to write a simple script, you probably walked away disappointed. While developers were already leaning heavily on ChatGPT and Bing AI, Google's chatbot was noticeably silent on the coding front.

Now, Google is finally playing catch-up.

Google just rolled out programming and software development capabilities to Bard. The update brings code generation, debugging, and code explanation across more than 20 programming languages, including Python, JavaScript, C++, Java, Go, and TypeScript. Google noted that coding had been one of the most requested features since opening Bard to testers last month.

Built-in Colab exports and Sheets tricks

Instead of just spitting out code in a chat box, Google integrated Bard directly into its own product ecosystem.

If you generate Python code, there is now a dedicated button to export it directly to Google Colab without manual copying and pasting. Bard can also write custom functions for Google Sheets, which could be a huge time-saver for spreadsheet power users.

Beyond writing raw code, Bard is designed to act like a pair programmer. You can paste snippets and ask it to explain what they do, or even ask questions about public repositories like GitHub's google/jax.

If the code fails, you can feed the error message back to Bard or simply tell it that the snippet didn't work. It will attempt to debug its own mistakes, optimize execution speed, or add error handling clauses you might have missed.

Google also promised that if Bard quotes extensively from an existing open source project, it will provide proper source attribution.

The hallucination problem remains

Google isn't hiding the fact that Bard still has serious rough edges.

Paige Bailey, group product manager at Google Research, explicitly warned that Bard is still an early experiment. It can confidently present inaccurate, misleading, or completely broken code that either fails silently or creates security vulnerabilities.

According to reporting from The Verge, internal Google employees had previously voiced deep skepticism about rolling Bard out too fast, with some workers even calling the system a pathological liar. Independent testing has consistently found Bard trailing OpenAI and Microsoft in factual and coding accuracy.

Why it matters

We think this update was a non-negotiable defensive move for Google, but not necessarily a decisive victory.

Coding has become the single most valuable battleground for generative AI assistants. Microsoft already has a massive head start with GitHub Copilot and GPT-4 integration, while developers have made ChatGPT an everyday companion. If Bard couldn't write code, technical users had zero incentive to stick around.

The native Google Colab export and Sheets integration are smart tactical moves. When your underlying model isn't visibly smarter than the competition, workflow convenience is the best way to keep users inside your garden.

However, code requires absolute precision. In marketing copy, a slight hallucination can pass as creative flair; in software engineering, a hallucinated syntax error or faulty logic breaks production. Launching coding capabilities while the system still struggles with basic accuracy feels like Google prioritizing competitive pressure over readiness.

For beginners looking to understand unfamiliar code blocks or automate quick spreadsheet formulas, Bard is definitely worth experimenting with. But if you are building anything mission-critical, double-check every line before you push it to production.