Base44 Features & Overview

Base44 is an AI coding platform that pairs an agent with your editor and repository. You describe a goal in plain English, and the system plans steps, fetches the right files, proposes diffs, and explains tradeoffs before you merge. It combines LLM code generation, retrieval over your codebase, and an execution loop that runs approved commands. You iterate in chat and the IDE, generate tests, preview changes in a live environment, and promote a build without juggling extra tools.

Core Features

• Agentic task planning: Write a request and watch Base44 break it into concrete steps, collect context from your repo, and suggest multi-file edits. Each step includes intent, risks, and rollbacks so reviews move faster.
• Repo-aware chat: Ask questions against real code and configs. The assistant cites files, traces data flow, and points to symbols and types so answers stay grounded in how your project actually works.
• Contextual autocomplete: Accept inline suggestions that follow nearby patterns, imports, and recent edits. Partial accept keeps your naming and signatures intact while still speeding routine scaffolding.
• Targeted code actions: Request actions like add OAuth, migrate an API, or harden input validation. Base44 updates imports, wiring, and tests, then returns a summary and diff you can inspect in one place.
• Test generation: Generate unit and integration tests from a function, spec, or diff. The tool builds fixtures, mocks external calls, and writes assertions that reflect behavior rather than lines so coverage rises with confidence.
• Refactors and upgrades: Modernize frameworks and libraries with guarded steps. The agent replaces deprecated calls, updates configs, and leaves reviewer notes that call out risk and suggested checks.
• Terminal execution loop: Let the agent run approved commands. It installs dependencies, executes scripts, captures output, and adapts when a step fails, which keeps long tasks visible and correctable.
• Preview and deploy: Spin up a live preview, inspect errors, and publish to a production URL from the same workspace. Logs and metrics sit beside the editor so fixes land quickly.
• Secrets and environment management: Store keys, validate required variables, and scope values by environment. Preflight checks catch missing settings before builds reach staging or production.
• Search and retrieval: Find functions, endpoints, and patterns across the repo. The agent pulls exact matches and relevant neighbors, then uses those references during generation so new code fits your conventions.
• Docs and PR summaries: Auto-draft READMEs, change logs, and pull request descriptions tied to the actual diff. Reviewers see why changes were made and how to test them without digging through history.
• Policy and audit controls: Restrict write scopes, require approvals, and record agent actions. Teams keep a clear trail while gaining speed on repetitive work.

Supported Platforms / Integrations

• Visual Studio Code and JetBrains IDEs
• macOS, Windows, and Linux terminals
• GitHub and common Git workflows
• Popular JavaScript and TypeScript stacks
• REST APIs, webhooks, and common databases
• Hosted previews and custom domains

Use Cases & Applications

• Founders shipping MVPs and live demos on short timelines
• Product teams delivering features across large repositories
• Platform teams running upgrades and framework migrations
• New hires learning codebases with grounded answers and previews

Pricing

• Free
• Pro: contact sales
• Team: contact sales
• Enterprise: contact sales

Why You’d Love It

• Moves from request to reviewed change without extra setup
• Grounds answers and edits in your actual repository
• Publishes previews and production builds in the same flow

Pros & Cons

Pros

• Clear, reviewable diffs with precise summaries
• Strong planning loop with real command execution
• Built-in previews and environment checks

Cons

• Heavy sessions may require paid limits
• Best results today in common web stacks

Conclusion Base44 gives teams a direct path from idea to merged code. You frame the goal, review concrete edits with tests and notes, and ship a live build from the same workspace. The loop stays fast, auditable, and grounded in your repo so delivery keeps pace with product decisions.