2026 AI Developer Tools Year in Review

In 2026, countless AI tools have emerged once again. Which ones are worth paying attention to? Which are just fleeting fads? As an AI developer, this year I've handpicked the most worthwhile tools to use.

💡 What You Will Learn

In 2026, countless AI tools have emerged once again. Which ones are worth paying attention to? Which are just fleeting fads? As an AI developer, this year I've handpicked the most worthwhile tools to

|:----|:--------|:--------|:-------|:--------| | TensorRT-LLM ||| A100/H100/B200 ||

# Ollama: Start
ollama run qwen3:7b

# vLLM: Production
python -m vllm.entrypoints.openai.api_server   --model Qwen/Qwen3-7B-Instruct   --tensor-parallel-size 2   --max-model-len 8192   --gpu-memory-utilization 0.9

# TensorRT-LLM: Deployment
trtllm-build --model_dir ./qwen3-fp16   --dtype float16   --max_batch_size 64   --max_input_len 4096   --max_output_len 1024   --output_dir ./trt-engines