I'm not a developer who "uses ChatGPT a bit". AI is integrated into every step of my work: design, development, debugging, tests, documentation.
Claude Code is my main tool. It's a CLI that understands my project context, navigates code, proposes changes and executes commands. Not a chatbot in a browser, a real pair programmer that knows my codebase.
The concrete result: I deliver in weeks what would take months with a traditional approach. Not because the code is sloppy, but because repetitive tasks (boilerplate, unit tests, migrations, documentation) that take 60% of a developer's time are accelerated 5-10x.
Execution speed. A complete CRUD with validation, tests and documentation in 20 minutes instead of 2 hours. A 30-file refactor in 1 hour instead of a full day. It's not magic, it's intelligent automation of mechanical tasks.
Code quality. Claude detects edge cases, type inconsistencies, anti-performance patterns that the human eye misses after 8 hours of coding. Code reviewed by AI + my expertise produces a better result than either alone.
Technical exploration. Before choosing an architecture, I have Claude brainstorm options, tradeoffs, existing patterns. It doesn't decide, I do. But it helps me consider options I wouldn't have explored due to time constraints.
Accelerated onboarding. On a new project or legacy codebase, Claude analyzes code, identifies patterns, explains business logic. What took days of code reading takes hours.
Beyond my own usage, I integrate AI features directly into the products I build for my clients.
Contextual chatbots. Not a generic chatbot. An assistant that knows your product, your data, your processes. Embedded in the interface, connected to your database, able to answer questions specific to your business.
Automatic classification. Support tickets sorted automatically, leads scored, documents categorized. AI handles what your teams did manually, with superior consistency.
Content generation. Product descriptions, personalized emails, automatic reports. Each piece of content generated from your data, in your tone, following your rules.
Data analysis. Insight extraction from unstructured data, anomaly detection, predictions. AI transforms your raw data into decisions.
AI amplifies, it doesn't replace. Every suggestion is validated by my expertise. AI proposes, I decide. The final result carries my signature, not a model's.
Full transparency. My clients know I use AI. It's not a secret, it's an assumed competitive advantage. They benefit from the speed and quality, in full transparency.
Right model for the job. Claude for complex reasoning and code. GPT-4 for certain generation tasks. Open-source models when data must not leave infrastructure. Each task has its tool.
Controlled costs. AI integration in your products is designed to be economical. Caching, rate limiting, appropriate model selection. API costs remain marginal even at scale.