AI Coding Tools Every Developer Should Use Now (medium.com)

A new guide rounds up the AI coding tools developers should try now, spotlighting mainstream assistants (GitHub Copilot), conversational/code-analysis agents (ChatGPT with Code Interpreter), fast local completions (Tabnine), browser IDE-integrated helpers (Replit Ghostwriter), AWS-focused tooling (Amazon CodeWhisperer → Amazon Q Developer), and platforms like Windsurf (formerly Codeium) built to reason about whole codebases. The piece argues these tools can dramatically speed feature development, surface bugs and insecure patterns, and lower the barrier for learning and prototyping — from single-file autocompletions to multi-file refactors and cloud-aware API suggestions. Many offer free or low-cost tiers, while enterprise plans add privacy, team training, licensing checks and governance. Technically, the tools span different architectures and trade-offs that matter to AI/ML teams: Copilot (OpenAI-backed) and Code Interpreter excel at converting natural language to code or analyzing uploads; Tabnine supports on-device models and team-trained models for strict privacy; Replit provides an end-to-end cloud IDE with deployment; Amazon’s offering embeds AWS SDK/context-awareness plus license and vulnerability tracking; Windsurf aims for whole-repo understanding and cross-file transformations. The key implications: these systems boost productivity but still hallucinate, can suggest outdated or license-sensitive snippets, and require human review and integration into CI/security pipelines. Choosing between cloud vs local inference, model freshness, and enterprise controls is now a core architectural decision for dev teams.