Our Blog
Insights on AI, Machine Learning, Web Development, and emerging technologies from industry experts.
// jump to
Insights on AI, Machine Learning, Web Development, and emerging technologies from industry experts.
// jump to
13–24 of 528
Build your first MCP server in TypeScript with the official SDK — tools, stdio transport, and a Claude Code test loop in under an hour.
Mahmudul Haque Qudrati
CEO & ML Engineer
AA Index 61 vs 60 vs 57. SWE-Bench Pro, GDPval-AA, pricing tables, and where each model loses. Updated June 3, 2026 with primary source benchmarks.
Mahmudul Haque Qudrati
CEO & ML Engineer
MIT vs Modified MIT licenses, AA Index 52-54 vs 61, H100 self-host break-even math, and when open weights beat closed APIs. June 2026 guide.
Mahmudul Haque Qudrati
CEO & ML Engineer
Task-by-task picks: Opus 4.8 for refactors, GPT-5.5 for terminal agents, Gemini for RAG, DeepSeek V4-Flash for batch jobs. Printable routing table.
Mahmudul Haque Qudrati
CEO & ML Engineer
100-turn coding session: $31 on Opus-only vs $2.65 routed. Six strategies with dollar math: caching, Sonnet default, MCP audit, structured output.
Mahmudul Haque Qudrati
CEO & ML Engineer
Same prompt, four tools, measured tokens and time. Live Three.js demos, cost table, and bug counts from Pristren June 3, 2026 test run.
Mahmudul Haque Qudrati
CEO & ML Engineer
How to orchestrate multiple specialized AI agents to solve complex, multi-step business problems. Explore communication protocols and handovers.
Mahmudul Haque Qudrati
CEO & ML Engineer
An in-depth look at reinforcement learning, Chain-of-Thought reasoning, and why DeepSeek-R1 represents a shift in LLM capabilities and cost.
Mahmudul Haque Qudrati
CEO & ML Engineer
Running LLMs locally is no longer just for developers. We benchmark the latency, memory usage, and reasoning quality of 2026's top open models.
Mahmudul Haque Qudrati
CEO & ML Engineer
Fine-tuning updates model weights, while RAG inserts context. Learn how to combine these strategies or choose the right one for your data.
Mahmudul Haque Qudrati
CEO & ML Engineer
A mathematical and visual walkthrough of multi-head attention, self-attention, and encoder-decoder cross-attention inside language models.
Mahmudul Haque Qudrati
CEO & ML Engineer
How quantization and pruning are allowing highly optimized models under 8B parameters to run locally on consumer phones and browsers.
Mahmudul Haque Qudrati
CEO & ML Engineer