Two years ago I was typing every line by hand. Today I orchestrate AI agents that refactor entire portions of production applications. It is not a marketing promise — it is the daily reality of development in 2026.
The 2024-2025 turning point
The release of Claude 3.5 Sonnet in 2024 and then Claude 4 marked a shift. For the first time, an AI could not only autocomplete code but understand an entire project, propose an architecture and deliver a working module in one pass.
For a freelancer like me, the consequences are direct: what took three days takes three hours.
What AI really does well
- Boilerplate: DB schemas, REST endpoints, unit tests, Zod validations — generated in seconds, often higher quality than copy-paste.
- Documentation: README, JSDoc, changelog, commit messages.
- Targeted refactoring: renaming across 50 files, extracting a component, migrating a deprecated API.
- Exploring unknown code: landing on a 200k-line monorepo and asking "where is payment handled?" is a game changer.
Where AI still fails
Let us be honest: AI has not replaced the senior developer, it has amplified them. What it still misses in 2026: high-inertia architectural decisions, non-trivial debugging, reading between client lines, fine-grained security.
My daily AI stack in 2026
- Claude Code for cross-cutting repo tasks.
- Cursor for inline context-aware editing.
- GitHub Copilot for line completion.
- Gemini 2.5 for multimodal tasks.
- v0.dev for React UI prototyping.
At SunderDev, I help teams industrialize AI usage. Let us talk.
