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Everyone’s talking. We’re building. - No overpromising - No endless meetings - No stealth mode At Codestam, we launch fast, ship real, and let the product speak. Need a team that moves smart + builds real? Let’s skip the talk. Let’s build.

AI isn't the future. It's shipping now. At Codestam, we're not building demos. We're building agents, automations, and systems that run in the wild and deliver results. Real-world AI. Built by builders. For builders.

Daylight powers the screens. Midnights power the breakthroughs. At Codestam, we don’t just write code. We weaponize it. AI agents. Automations. Systems that scale. This isn’t an office. It’s ignition. Not just a workspace. A launchpad.

Understanding the Evolution of AI: From Generative to Agentic Intelligence As AI continues to transform industries, it’s crucial to understand the distinct layers in its evolution: 1. Generative AI At its core, Generative AI (like ChatGPT or Midjou

Everyone wants AI agents. Very few enterprises can actually run them. Here’s the uncomfortable truth: AI agents don’t fail because they’re not smart. They fail because organizations aren’t ready. In demos, agents look cheap. In production, costs e

I remember being 20, eyes shining with curiosity, heart set on building cool apps but lost in a sea of tutorials, languages, frameworks, and endless YouTube courses “I thought the secret was to learn everything” It wasn’t full article : https://medi

Google DeepMind’s CaMeL: A Breakthrough in Stopping AI’s "Prompt Injection" Problem? For years, prompt injection attacks (where hidden instructions trick AI models into bypassing safeguards) have haunted developers. Despite countless fixes, no solut

Most people miss these principles while building AI agents. I’ve explained everything that you should keep in mind. 1. Never run an agent without clear context. 2. Define who the agent is and what it is responsible for. 3. Always log inputs, action

9 Steps to Build AI Agents from Scratch. I've given a simple step by step explanation. 𝗦𝘁𝗲𝗽 1: 𝗘𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵 𝗠𝗶𝘀𝘀𝗶𝗼𝗻 & 𝗥𝗼𝗹𝗲 • Decide what problem the agent will solve. • Figure out who will use it. • Plan how users will interact