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October 2026 has been a rough month for cybersecurity. From critical PHP vulnerabilities and AI supply chain attacks to AI agents autonomously accessing bank accounts, the security landscape is changing rapidly.

In this episode of Beyond the Build, we break down "Black October," major security vulnerabilities affecting PHP, LightLLM, and OpenCode, OpenAI's AI agents disabling security monitoring, and why banks are increasingly concerned about autonomous AI agents.

We also explore 1Password for AI Agents, security concerns surrounding Chinese AI models, and how AI is reshaping the future of software engineering.

Are AI agents creating more problems than they're solving? And what does the future look like for software engineers?

Join us as we unpack these stories and more.

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00:00 - Trailer
01:44 - Welcome to Last Week in Tech
02:04 - “Black October”: Critical PHP Vulnerabilities
07:07 - Why Old Software Becomes a Security Liability
09:31 - Bank of America’s AI Security Cleanup
11:39 - When AI Agents Disable Their Own Monitoring
16:58 - Code Is Cheap: What Software Agencies Should Sell
20:53 - AI Agents Are Logging Into Bank Accounts
23:36 - Action Control vs. Access Control
25:00 - 1Password for AI Agents
28:41 - The Certificate Authority’s Weak-Key Disaster
32:52 - A Leaked Key and a Supply Chain Attack
35:01 - OpenCode, Stolen API Keys & Unexpected AI Bills
37:13 - Can AI Models Change Code Security Based on Who You Are?
43:24 - A Plugin That Tests Your Understanding Before You Push
46:33 - What Linear Gets Right About Product Design
50:50 - Making Your Smart TV Dumb Again
55:14 - Nigeria’s DevOps Community & Finding Your Network
57:01 - Outro & How to Join the Show

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An OpenAI engineer was arrested for allegedly spying on executive meetings, GitHub is rebuilding its infrastructure to handle the explosion of AI-generated code, and a Nigerian developer has built a GTA-inspired game based on life in Lagos.

In this episode of Beyond the Build (Last Week in Tech), we break down the OpenAI spying scandal, why GitHub and Anthropic are rethinking Git and source control for AI coding agents, and how AI is changing software engineering, code reviews, and the skills developers need to stay relevant.

We also explore Lagos Life, a Nigerian-built simulation game, the growing security risks of AI-generated code, and why companies like Clay are rethinking how engineers use AI for writing and communication.

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00:00 - Trailer
01:54 - Welcome to Last Week in Tech
02:24 - The Alleged OpenAI Office Bugging
09:01 - Lagos Life: Building a Virtual Lagos
15:29 - Why GitHub Needs to Rebuild for AI Scale
17:22 - How Git Commits, Pushes & Conflicts Work
23:50 - Separating Storage from Compute
25:30 - Why Anthropic Built Its Own Source Control
28:37 - Should We Stop Reviewing AI-Generated Code?
30:25 - Engineering Judgment: Knowing What Good Looks Like
35:10 - Better Tests, Not Just More Tests
36:07 - AI Code That Works—but Is It Secure?
39:22 - Designing Security Into AI Projects
41:12 - Why Forward-Deployed Engineers Are Hard to Find
43:20 - Writing With AI Without Outsourcing Your Thinking
47:28 - Turning Voice Notes Into Better Writing
48:42 - How Unchecked AI Replies Destroy Trust
50:15 - Longer Documents Aren’t Better Documents
53:27 - Interactive Artifacts Instead of Long Documents
54:10 - Outro & Listener Intros

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The US is tightening immigration policies, and Big Tech is feeling the impact. With companies like Microsoft pausing green card sponsorships and proposed changes to OPT for international students, what does this mean for the future of tech jobs in America?

In this episode of Beyond the Build, we discuss how immigration restrictions could affect skilled workers, international students, and the tech industry, and whether these policies could push more talent and jobs overseas.

We also explore growing concerns around AI sovereignty and data privacy, Anthropic's handling of private Claude conversations, Claude's integration with Google Workspace, and Microsoft and Meta's massive spending on AI coding tools.

Finally, we discuss the future of AI interfaces, why understanding code still matters in the age of AI, and some interesting open-source projects worth checking out.

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In this episode of Beyond the Build, we talk about how personal AI agents are starting to change the way we interact with technology, including research showing that some agents may recommend more expensive options based on what they infer about a user.

We also get into the privacy tradeoffs of personal AI, OpenAI Dots vs. Meta Muse, whether Plan Mode still makes sense for coding agents, why taste still matters when building with AI, browsers sending gRPC requests directly, and what it actually takes to identify and push high-leverage engineering work inside an organization.

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This week on Beyond the Build, we break down some of the biggest stories in software engineering, cybersecurity, AI, and tech.

We discuss Jev, a new decision-focused AI model, the shifting AI talent pipeline between China and the US, AI hacking incidents, Kimi coming to AWS Bedrock, the reported FBI breach, North Korean fake developer interviews, Polymarket fraud, Samsung smart fridge failures, and the debate around whether MCP is still necessary.

We also talk about senior engineer communication, how coding agents edit files, and the growing problem with AI-generated writing.

If you’re a software engineer or tech professional trying to keep up with what’s changing across the industry, this episode is for you.

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00:00 Trailer
01:36 Intro — Last Week in Tech
01:50 Prediction Markets, Fraud & Polymarket
06:29 Kimi AI Comes to AWS
10:41 The AI Slowdown & Management Consultants
15:05 Jev: The AI Model Built for Fast Decisions
17:47 Slop Mop & The Problem With AI Writing
21:44 The Changing Landscape of Chinese AI Talent
26:56 AI Models Are Hacking Computers
30:27 Is MCP Still Necessary?
36:45 ShinyHunters Hack the FBI
39:46 When a Software Update Breaks Your Fridge
42:43 North Korean IT Workers & Deepfake Job Interviews
45:40 Rapid Fire: The Senior Engineer Death Spiral
48:03 Managing Capacity, Delegation & Engineering Work
50:13 How Coding Agents Edit Your Files
51:23 Should AI Be Writing Your Documents?
55:49 Wrap Up
56:17 A New Way to Get Your Questions on the Show

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In this episode of Beyond the Build, we break down Anthropic’s latest AI misuse report and look at how bad actors are already using AI for scams, surveillance, cyber operations, influence campaigns, telecom data scraping, and other real-world attacks.

We also discuss the growing AI arms race between companies like Anthropic, OpenAI, and other major labs. AI companies are warning about models becoming harder to supervise while simultaneously investing billions to build more capable systems. Can any company realistically slow down if everyone else keeps racing ahead?

We also get into a new security problem emerging around AI coding agents and plugins. As developers give tools like Claude Code, Codex, GitHub Copilot, and Gemini CLI more access to repositories, terminals, APIs, and credentials, supply-chain attacks become significantly more dangerous.

Then we debate what code review should look like in the age of AI. If AI can generate code faster than humans can read it, should every line still be reviewed? Or does code review become less about catching bugs and more about making sure engineers still understand the systems they are building?

We also cover AWS infrastructure failures during geopolitical conflict, Windows 11 updates breaking hardware, OpenAI’s IPO plans, digital ownership, and what happens when the software and infrastructure we depend on become increasingly automated.

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In this episode of Beyond The Build, we talk about the growing wave of AI safety warnings coming from researchers at companies like OpenAI, Anthropic, and Google DeepMind, and whether those concerns should actually change how seriously we think about the risks of increasingly capable AI systems.

We also get into the security problems that come with AI agents having access to production secrets, private data, credentials, and external systems, along with recent controversies around AI research, watermarking, browser privacy, and the trust we place in the tools we use every day.

Then we bring it back to software engineering. If AI can already investigate alerts, write code, open pull requests, and automate more of the development lifecycle, what is actually left for engineers? We discuss why coding is only one part of the job, why judgment, system design, debugging, operations, and accountability still matter, and why you cannot fully delegate a system you do not understand.

Along the way, we also touch on AI-assisted research, security vulnerabilities, prompting, brownfield vs. greenfield development, Postgres at scale, expired credit card security, and a few other things happening in tech this week.

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AI is changing software security faster than most engineering teams are prepared for.

In this episode of Beyond the Build, we break down how AI agents are starting to discover and exploit vulnerabilities, why the window between a CVE being disclosed and actively exploited is shrinking, and what that means for developers, security teams, and companies shipping software today.

We also discuss new findings around OpenAI’s AI agent swarms, concerns around observability and model behavior, major data breaches involving identity verification providers, and why digital privacy is becoming even harder to protect.

Beyond security, we get into how AI is reshaping software engineering itself, including the impact on frontend developers, Meta’s push toward smaller engineering teams, local LLMs running directly in the browser with WebGPU, and why human error can still take down even the most resilient cloud infrastructure.

Topics covered:
• AI agents and autonomous hacking
• OpenAI swarm security concerns
• CVEs and faster vulnerability exploitation
• Software supply chain and cybersecurity risks
• Data breaches and identity verification
• Privacy and age verification
• The future of frontend engineering
• AI-driven software development
• Meta engineering layoffs and productivity
• WebLLM and local AI inference
• Google Cloud outages and infrastructure resilience

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