Devin AI Is the Future of Coding… Full Tutorial
The video walks viewers through Devin AI, Cognition’s newly expanded coding ecosystem that includes a cloud‑based software engineer, a terminal‑based CLI agent, and an AI‑powered GitHub review tool. After Cognition’s $250 million acquisition of Windsurf, Devin now offers a full suite—from the original cloud VM that can browse, run tests, and push pull requests, to the lightweight Devin‑for‑Terminal that runs locally and lets users pick from multiple LLMs. Key insights include the ability to hand off tasks from a local terminal to a remote VM, seamless GitHub, Slack, and Linear integrations, and a tiered pricing model (free with limits, $20‑$200 per month Pro plans). The presenter demonstrates model switching via the /model command, shows how to automate prompts with flags, and explains session management (/clear, /new) to avoid context‑window degradation. Notable examples feature the rapid generation of a simple HTML landing page using a voice‑to‑text prompt, editing files via the @ symbol, and toggling edit modes (accept edits, bypass, normal) with shortcuts like YOLO and Shift‑Tab. The tutorial also highlights the use of advanced models such as Opus 4.6 versus Cognition’s own SWE 1.6, illustrating performance and cost trade‑offs. The implications are clear: developers can offload heavy compute to the cloud, accelerate code creation and review cycles, and integrate AI directly into existing CI/CD pipelines. As cloud‑native IDEs mature, tools like Devin could reshape how solo developers and teams manage code, potentially reducing reliance on local hardware and speeding time‑to‑market.
Why Your AI Strategy Is Failing: The AI Paradox of Optimizing Coding Alone
The video explores the "AI paradox"—organizations rush to automate coding while neglecting the rest of the software development lifecycle. Andrew Hashka, Field CTO for GitLab in APJ, argues that focusing solely on code generation creates new bottlenecks in testing, security,...
Copilot CLI Tutorial #2 - Commands
The tutorial explains Copilot CLI’s slash (/) commands—prebuilt shortcuts for actions like login, exit, change-log, copying output, delegating sessions to cloud, diffing, toggling experimental features, and sharing sessions. The instructor demos using change-log with a summarize flag, the copy and...
I Can’t Believe This Trial Is Real...
The federal courthouse in Oakland opened closing arguments in the high‑profile lawsuit where Elon Musk seeks $134 billion from Sam Altman, OpenAI and Microsoft, alleging the nonprofit was hijacked into a for‑profit behemoth. The case hinges on Musk’s 2015 donation of $38 million,...
Harness Engineering: The Most Important New Skill in Enterprise AI
The video introduces “harness engineering” as the emerging discipline that underpins reliable enterprise AI agents. It likens the harness to an operating system that surrounds a model, controlling how the agent interacts with tools, data, and business processes. The concept...
Inside the Code Factory: Ryan Carson Live with Tim O’Reilly
In a Code Factory episode, Tim O’Reilly talks with veteran entrepreneur Ryan Carson about his newest venture, Untangle, an AI‑powered divorce assistant built and operated entirely by artificial‑intelligence agents. Carson recounts how he re‑learned full‑stack development with ChatGPT, launched a minimal...
How to Watch the Watcher: Investigating Vulnerability Scanner Reports 101
The session walks through vulnerability scanner reports, explaining how scanners generate CVE data, the metrics they expose, and why platform engineers must interpret them correctly. Neil Carpenter illustrates common pain points: one scanner flagged 673 vulnerabilities while another showed only two,...
GRPC vs HTTP Explained in 3 Minutes
The video explains the differences between gRPC and traditional HTTP APIs, emphasizing that gRPC is built on top of HTTP/2 rather than replacing it. It highlights HTTP/1.1’s limitations—single‑request connections, costly TCP/TLS handshakes, and head‑of‑line blocking—then shows how HTTP/2 solves these with...
Building AI Agents That Survive Production
The Seattle AI agents conference opened with Demetrios Brinkman introducing Union AI CTO Hayam, who framed the session around building AI agents that can survive real‑world production. Hayam highlighted the gap between lab‑tested prototypes and the harsh realities of deployment—memory...
Why Every AI Agent Needs Its Own Computer | Ivan Burazin (Daytona)
The conversation centers on Ivan Burazin’s claim that every AI agent needs its own sandboxed computer – a dedicated, isolated environment that functions like a personal workstation. He frames agents as digital knowledge workers, arguing that without a full‑featured computer...
Skills, Tools & MCP – Connecting Your Agent to the World
The webinar introduced agent skills and MCP as a way to connect AI agents to real‑world tasks, presented by Quasian Koma, lead AI solutions at Samberonova Systems. Skills are composable, lazy‑loaded modules defined in a skill.md file; they replace ad‑hoc...
Docker Hardened Images
Hardened Docker images are minimal container images curated to reduce attack surface by including only the runtime and essential files required to run an application. Unlike typical images that bundle package managers and shells, hardened variants may omit npm, Yarn...
AWS Full Course 2026 | AWS Tutorial For Beginners | AWS Solution Architect Full Course | Simplilearn
The video presents Simplilearn’s comprehensive AWS Full Course, a structured curriculum designed to take beginners from cloud fundamentals to advanced solution‑architect expertise. It outlines twelve modules covering core services, compute, storage, networking, databases, security, monitoring, automation, serverless integration, real‑world architectures,...
Claude Code for Beginners Tutorial
The tutorial by Jeremy Morgan from CodeCloud walks developers through installing and using Claude Code, an npm-based CLI that integrates Anthropic’s Claude AI into local development environments. It covers prerequisites (Node.js 18+ and an Anthropic/Cloud subscription), global installation, authentication via...
AI in QA - Scripts to Context Using ContextQA | Honest Conversation | Webinar Summary
The webinar hosted by Naveen Automation Labs, featuring Context QA CEO Deep Barat, examined how artificial‑intelligence is reshaping quality assurance. With developers deploying tools like GitHub Copilot at unprecedented speed, the session asked a stark question: if AI writes code,...
Mark Cavage on Agentic AI, Sandboxing & Enterprise Security | Ep 10
In episode 10 of Future of Data and AI, Docker COO Mark Cavage talks about the rise of agentic AI, the need for sandboxed “yellow mode” execution, and how enterprises can secure autonomous agents. Cavage describes AI agents acting as virtual...
Software Verification in the Age of Artificial Intelligence
The webcast, presented by Bertrand Meyer, examined how artificial intelligence reshapes software verification and the broader engineering workflow, arguing that AI must serve as an assistant rather than a replacement for human programmers. Meyer outlined an ecosystem of specialized AI agents—handling...
Design Centralized Logging System
The video walks through building a centralized logging pipeline for a Kubernetes deployment of over a hundred microservices, each emitting structured JSON to stdout. Logs are harvested by Fluent Bit running as a DaemonSet on every node, which reads the node‑level...
From Notebook to Production: Building End-to-End AI Systems - Mariano Semelman
The interview centers on Mariano Semelman’s work building end‑to‑end AI solutions for OLX’s marketplace, where the team automates media creation to help sellers list items more effectively. By leveraging generative models, the platform can turn a static image set into...
Why AI Agents Shouldn't Replace Your Fraud Models
The talk centered on why AI agents should augment, not replace, fraud detection and other high‑stakes ML systems. Ferran Sanoyan highlighted Chronon, an open‑source data‑foundation platform originally built at Airbnb to streamline feature engineering, and described how it now powers...
The 4 Generations of AI Code Review Explained #short
The video outlines how AI‑driven code review has moved from simple snippet suggestions to sophisticated multi‑agent platforms, labeling the stages as generations one through three‑point‑five. Generation 1 mimics early “tap‑tap‑tap” tools, offering isolated recommendations. Generation 2 expands to full‑pull‑request analysis, while Generation 3 scales...
Container Interview Question
The video tackles a common Docker interview puzzle: why a container built with a CMD of python app.py shows only a Bash shell when launched with docker run -it myimage bash. It explains that docker run always starts a fresh container, and any command...
The Future of Code Review Is a Dashboard, Not a Diff #short
The video argues that traditional line‑by‑line diffs will be replaced by a comprehensive dashboard that aggregates hundreds or thousands of pull‑request workflows. Instead of scrolling through raw code changes, engineers will see a high‑level view where AI‑generated rules flag only...
AWS Amazon S3 Files Explained
AWS introduced Amazon S3 Files, a service that lets customers mount an S3 bucket as an NFS file system, letting legacy Linux applications read and write files without code changes. Traditional architectures copy objects from S3 to an EFS volume, incurring...
Agent Security Gaps, DXC’s AI IT Platform and NVIDIA’s Backyard Data Centers | Techstrong Gang
The TechStrong Gang episode spotlights a growing security blind spot: autonomous AI agents. While the discussion briefly mentions DXC’s AI‑powered IT platform and NVIDIA’s edge data‑center strategy, the core focus is on how agents—software entities that can ingest data, access...
NEO: The AI Agent That Builds AI Models, Agents & Apps From One Prompt
The video introduces Neo, an AI‑powered VS Code extension that acts as an autonomous machine‑learning engineer, letting users create data pipelines, train models, and ship applications from a single natural‑language prompt. Neo scans the current workspace, proposes a task plan, and if...
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How to Find the Agent Failures Your Evals Miss [Scott Clark] - 767
In this episode, Scott Clark, co‑founder and CEO of Distributional, explains how enterprises are moving from pre‑deployment testing to post‑production analytics to surface hidden failures in AI‑driven agents. He frames observability as a three‑tier hierarchy—telemetry for raw logs, monitoring for...
On Stream: Agent Sandboxes
The video dives into the emerging practice of sandboxing AI‑driven agent harnesses—tools like Claude, Copilot, and other terminal‑based assistants. By confining these agents to isolated environments, developers can control file system and network permissions, preventing rogue actions such as unwanted...
Manual Changes Break Security
The video stresses that any manual alteration of production infrastructure undermines security and operational stability. It advocates a strict "no‑snowflake" policy, insisting that every server, database, and network component be defined as code, typically in YAML files, to guarantee uniformity...
Open Models Coding Essentials – Running LLMs Locally and in the Cloud Course
The video introduces Andrew Brown’s "Open Models Coding Essentials" course, which examines how to run open‑source large language models (LLMs) both on‑premises and in the cloud for software‑development tasks. Brown outlines the landscape of available models—Gemma, GLM, Kimmy, Quen—and the...
AI SREs, Chat With Your Infrastructure with Anyshift
The Agentic DevOps podcast introduced Anyshift.io, a startup delivering an AI‑powered Site Reliability Engineer (SRE) platform that lets engineers converse with their infrastructure. By aggregating read‑only keys from cloud providers, GitHub repositories, monitoring and logging services, Anyshift creates a persistent,...
Introduction to AgentOps | Build Your First Project in 20 Minutes Using Flyte | Free & Opensource
The video introduces AgentOps, a methodology that treats AI agents as conventional software services, and demonstrates how Flyte (formerly Flight) can operationalize them. By spinning up a local K3s cluster with the single "flight start devbox" command, developers gain a...
The Real Reason Why AI Can't Predict DevOps Outages | Try This
The video explains why current AI assistants fail to reliably diagnose DevOps incidents, pointing to the fragmented and time‑sensitive nature of operational data. Logs, metrics, alerts and maintenance events live in separate silos, making a single AI query impossible. The speaker...
LF Live Webinar: The Velocity Paradox: Syncing Database DevOps with AI-Scale Software Delivery
The LF Live webinar tackled the "velocity paradox": AI tools dramatically speed up code creation, yet delivery pipelines are buckling under quality, security and reliability issues. Eric and Jesse highlighted that while developers can now generate code faster, the downstream...
How Ramp Built Self-Maintaining Software
Alex from Ramp Labs explains how the team created a self‑maintaining software pipeline for Ramp Sheets using an internal AI agent called Inspect. Inspect runs code in isolated sandboxes, integrates with GitHub, Datadog, Sentry and other tools, and can...
I Built a Tool to Manage Multiple AI Agents at Once
The video introduces a new workflow where software engineers shift from coding to managing a fleet of AI agents. By running several agents in parallel, developers assume roles traditionally held by project managers, tech leads, and product owners, supervising, directing,...
The Future of Code Review: Stop Reviewing Line-by-Line, Start Governing AI Agents #trailer #short
The video spotlights a paradigm shift in software quality assurance: moving away from line‑by‑line code reviews toward governing the AI agents that produce code. Itamar Friedman, founder of Codium, argues that the sheer volume of pull requests generated by AI—often...
Why GitOps Exists (And Why CI/CD Alone Wasn't Enough)
The video asks why GitOps emerged despite the existence of continuous deployment pipelines. Traditional CD tools such as Jenkins or GitHub Actions push manifests to Kubernetes, but they leave no mechanism to verify that the live cluster still mirrors the...
Why Decoupling Release From Deployment Changes Everything #short
The video argues that separating the act of releasing code from deploying it to customers reshapes how technology organizations operate. By decoupling these steps, engineering, product, and marketing teams can pursue their distinct objectives without stepping on each other's toes. Developers...
Docker Under 60 Seconds | Introduction To Docker | Docker Tutorial | #Shorts | #Simplilearn
The short video from Simplilearn gives a rapid overview of Docker, describing it as a containerization platform that bundles an application’s code, libraries, and configuration into a single, portable unit. It emphasizes that containers run the same way on any host,...
Getting Humans Out of the Way: How to Work with Teams of Agents
The conversation centers on how developers can "get humans out of the way" by building robust validation pipelines for AI‑driven coding agents. Rather than manually QA every feature, engineers define clear criteria—such as visual regression walk‑throughs and custom lint rules—so...
DevOps & AI Q&A
The video is an informal live Q&A featuring Scott and Brett, where they field audience questions about DevOps, AI, and emerging learning models. The hosts admit the format is unstructured, using humor and sound effects, but quickly pivot to discuss...
Python FastAPI Tutorial: Full Course for Beginners - Build a Full-Stack Web App
The video introduces a step‑by‑step tutorial for building a full‑stack web application using Python’s FastAPI framework. It starts by creating a project folder, installing FastAPI (with the standard extras) via UV or pip, and writing a minimal main.py that defines...
![How to Engineer AI Inference Systems [Philip Kiely] - 766](/cdn-cgi/image/width=1200,quality=75,format=auto,fit=cover/https://i.ytimg.com/vi/k_tn-e6FWsU/maxresdefault.jpg)
How to Engineer AI Inference Systems [Philip Kiely] - 766
The podcast episode with Sam Sharington and Philip Kiely focuses on the emerging discipline of AI inference engineering, highlighting how inference has become the most critical and fastest‑moving workload in the AI stack. Kiely explains that unlike model training, which can...
Claude Code Hostinger Tutorial: How to Install Claude Code on a Hostinger VPS
The video walks viewers through installing Claude Code, an AI‑powered coding assistant, on a Hostinger virtual private server (VPS). It targets beginners, showing how to launch a pre‑configured Claude Code image on Ubuntu 24.04 and link it to a personal Claude...
A Deep Dive Into Deutsche Telekom’s Telco Cloud
The interview introduces Deutsche Telekom’s new horizontal telco cloud, a production‑grade architecture deployed in its German network. Built on three layers—cloud infrastructure, a vanilla Kubernetes stack, and cloud‑native network functions—the platform adds a unified automation layer that supersedes traditional vendor‑specific...
Lecture 3.0.18: CICD & Cloud Cost Estimation Github Action
The lecture reframes data‑science projects as medical devices, emphasizing three pillars: a reproducible scaffold, continuous integration/deployment (CI/CD) for safety, and a realistic cloud‑cost budget. By mirroring device housing, safety circuits, and manufacturing budgets, students are urged to treat codebases with...
What Durable Execution Changes for Developers | Temporal
The video launches a new Techstrong series in partnership with Temporal, focusing on "Workflow Orchestration Evolved" and the concept of durable execution. Host Alan Shiml introduces the panel—Tom Wheeler, principal developer advocate; Sergey Boff, principal engineer; and Maxim Fateev, Temporal’s...
Can AI Agents Safely Become DevOps Engineers? - Sam Alba of Mendral
The podcast explores Mendral’s AI‑powered DevOps engineer, a tool designed to act like a junior DevOps professional by continuously scanning GitHub Actions, fixing flaky tests, and streamlining CI pipelines. Co‑founder Sam Alba explains that the platform ingests logs, workflow events,...
How to Deploy Google AI Studio Websites Correctly - Step by Step
The video walks viewers through a step‑by‑step process for taking a web app built in Google AI Studio and making it publicly accessible. It emphasizes that while building the site is straightforward, publishing it requires a hosting partner, and the...