Scaling your money safely with AI
Ryan speaks with PayPal CTO Srini Venkatesan about securing AI-generated deterministic code, building autonomous SDLC systems with iterative feedback loops, and delivering a smooth headless checkout experience.
Everything tagged software-engineering, newest first. Tags come from the classifier reading each item's summary; 394 tags used 25 times or more have their own page.
Ryan speaks with PayPal CTO Srini Venkatesan about securing AI-generated deterministic code, building autonomous SDLC systems with iterative feedback loops, and delivering a smooth headless checkout experience.
Software engineering has shifted from debating coding styles to evaluating AI-assisted outcomes, where implementation is easier than ever but choosing the right solution, architecture, and business-aligned approach has become the real challenge and key measure of quality.
Ryan interviews Greg Jennings, Anaconda’s VP of Engineering for AI Products, on building secure-by-default AI coding agents, the limits of relying on prompts as security controls, and how acquisitions help strengthen the AI software supply chain.
The video explains how to become an AI engineer from scratch by clarifying the role, why it pays well, and the seven skill areas needed to build real production AI systems without getting lost in endless tutorials.
Enterprise Architecture is being challenged by AI’s dynamic, probabilistic nature, and the discussion explores whether EA will remain relevant by adapting to AI-driven systems or be replaced by them.
Ryan interviews Tim Lindholm, an early Java contributor at Sun Microsystems, about Java’s origins, the strategic need for a cross-platform ABI to challenge Windows NT, and how applets began as a simple demo before becoming a notable part of the platform.
Tony Mattke’s “Going Pro” Git article for network engineers covers practical workflow upgrades like SSH keys, pre-commit hooks, GitHub Actions linting, branch protection, pull request reviews, and the gh CLI, making it a valuable next step for anyone moving beyond Git basics.
Ryan interviews Leo de Moura, creator of Lean and Senior Principal Applied Scientist at AWS, about using Lean to prove AI agent correctness, combining automated reasoning with probabilistic models, and applying AI to continuously optimize code.
Knight Capital’s 2012 collapse shows how a reused feature flag, inconsistent server deployment, and a mistaken rollback turned one dormant trading function into a catastrophic software bug that executed millions of bad trades in 45 minutes, costing the firm $440 million and leading to its sale.
Corporate documentation contains 227 install commands that reference code with no clear owner, creating a maintenance and accountability risk for the organization.
Traditional peer review is changing in the AI era, and Dylan Ratcliffe argues teams should treat AI as an auditable machine while adapting review processes and culture to keep code quality and accountability strong.
AI coding tools can produce fast, convincing patches, but without repo awareness, architectural context, and upfront planning, they often make technically correct changes that violate existing patterns, duplicate utilities, and quietly degrade production codebases.
As code becomes more affordable, the challenge shifts to defining "correctness" and establishing a dependable method for verification.
The content outlines a method for building a production-ready AI agent system for reviewing code pull requests, emphasizing a multi-agent architecture that mimics senior reviewers' selective judgment and integrates robust verification processes.
Meta's release of Muse Spark 1.2 and Muse Code marks a significant AI advancement, offering competitive pricing and innovative features for complex software engineering tasks, while leveraging real-world UI references through Mobin's MCP for enhanced app development.
The shift from traditional software engineering to agentic engineering, driven by AI-assisted and agentic coding, is transforming developers' roles from writing explicit instructions to shaping behavior through AI agents, while maintaining human oversight and expertise in code quality.
SpaceX's Grock 4.5 is a highly efficient and cost-effective coding model designed for real-world software engineering, offering competitive performance and speed, making it a strong alternative to other leading models.
The discussion focuses on enhancing code readability for non-programmers by prioritizing human readability over computer functionality, using mainstream programming languages to bridge the communication gap between software engineers and clients.
AI's influence on software engineering is growing, with agentic usage nearly doubling to 59% according to the latest pulse survey.
As software engineers shift focus from coding to prompt structuring and code reviewing, their workdays become more intense, raising the question of whether AI can address the challenges it introduces.
The author recounts optimizing a Windows routine for converting IIDs to strings, highlighting the complexity and significance of IIDs in COM, and reflecting on the learning process and understated recognition in software development.
Ryan interviews Jason Williams, a senior software engineer at Bloomberg and creator of the Rust-based JavaScript engine Boa, discussing the challenges of date and time handling in JavaScript and how the Temporal proposal seeks to address these issues.
Xiaomi's Memo version 2.5 Pro is a groundbreaking open-source AI model optimized for advanced agentic workflows and software engineering, featuring a 1.2 trillion parameter mixture of experts model with a 1 million token context window, excelling in long horizon reasoning and tool handling.
AI development is plagued by technical debt due to rushed deployments and lack of planning, leading to future costs and system fragility, with strategic and reckless debt differing in awareness and preparedness.
Ryan hosts Bjarne Stroustrup, the creator of C++ and Columbia professor, discussing the language's history, evolution, and future directions.
Meta enhanced AI coding assistants to better understand and edit large-scale data pipelines by addressing their limitations in processing complex codebases.
Simon Severino, CEO of Strategy Sprints, demonstrates how to automate sales pipelines using AI tools like Claude, Obsidian, and Notion, transforming tedious tasks into efficient processes for software engineers and SAS founders.
The phrase humorously alludes to the famous Star Wars line, suggesting that certain pull requests may not meet the desired criteria or expectations.
Miniax M2.7, a next-gen AI model, autonomously self-improved over 100 rounds, achieving a 30% performance gain, excelling in complex task automation, and offering cost-effective, high-level productivity with advanced capabilities in software engineering and real-world applications.
The Free Code Camp podcast features an interview with Justin Surles, a retired software engineer who discusses his transition to open-source development, alongside announcements of new Free Code Camp courses on Kubernetes, Notion, and Python, and a song recommendation.
Starting in September, Google Chrome will switch from monthly to bi-weekly release cycles for new updates.
Enthropic's latest upgrades to Claude Code, including enhanced automation and security features, are revolutionizing AI coding assistance by significantly reducing software task completion times and improving developer workflows.
The rapid advancement of AI has surpassed expectations, transforming software engineering by emphasizing understanding and value creation over mere coding mechanics, while revealing a capabilities overhang where AI's full potential remains underutilized.
High-quality code remains essential for producing quality software, regardless of the involvement of AI agents in development.
Ned and Kyler engage with Jon Collins in a lively discussion about the evolving software engineering landscape, emphasizing the significance of architecture, exploring "Vibe Coding" and the "Augmentation Gap" with AI tools.
The Free Code Camp podcast, hosted by Quincy Larson, highlights the achievements of 2025, including new courses, certifications, and language curricula, while sharing an inspiring interview with self-taught programmer Zuben Proup and offering a travel tip and song recommendation.
IQ Quest Coder, developed by Quest Research, introduces an innovative loop-based architecture for software engineering models, claiming superior performance to GPT 5.1 and Cloud Sonic 4.5, though its benchmark validity is questioned due to potential data leakage and inflated results.
The Mixture of Experts podcast discusses the transformative impact of AI on code generation, highlighting both its widespread adoption and existing limitations, with insights from experts on the future of AI in software engineering.
The final 2025 Free Code Camp podcast episode features an interview with Santosh Yadav and announces new certifications in JavaScript, Python, English for developers, and a Spanish curriculum, alongside community updates and a song recommendation.
OpenAI stated that its new AI coding agent, Codex, is predominantly developed using Codex itself.
Ryan and Kayvon Beykpour discuss AI-powered code review's potential to manage large codebases, emphasizing human involvement for effective debugging and enhanced visibility through abstract syntax tree summarization.
Opus 4.5, a new AI model from Anthropic, is revolutionizing coding by increasing autonomous task completion, prompting experts to predict a future where software engineering may become obsolete by 2026.
Task Manager, created by Dave Plamer 30 years ago, was born from a Unix-inspired need for process visibility on Windows, evolving into a robust, lightweight tool integral to Windows systems, despite initial resistance from the UI team.
Google's upcoming AI model, Gemini 3, is poised to revolutionize coding and multimodal capabilities, potentially dominating the AI industry by 2026 with innovations like vibe coding, challenging competitors like Anthropic.
The traditional IDE is being replaced by the Agentic Development Environment (ADE), which facilitates coding through conversational commands and automates tasks like codebase indexing and project setup, demonstrated using warp.dev.
The Free Code Camp podcast features Eric Carlson, a self-taught developer who secured his first software engineering job at 45, alongside updates on new courses, tutorials, and community news.
Medium is seeking a Principal Backend Engineer to lead and innovate their backend systems, enhancing the platform's reliability and fostering a deeper connection through meaningful content.
The Free Code Camp podcast features a developer's journey from a baseball scholarship to a software engineer, alongside community updates on new educational resources, including courses on SQL, Python machine learning, JSON web tokens, React design patterns, and a fun one-dimensional Pac-Man game.
The Free Code Camp podcast discusses a software engineer's career transition at 43, highlights new Python courses for AI development, shares a React performance tutorial, and introduces a nostalgic Snake game playable in a browser address bar.
Claude 4.5 Sonnet, released by Anthropic, is the world's most powerful coding model, excelling in software engineering with groundbreaking capabilities, including 30+ hours of autonomous coding, outperforming previous models like GPT5 with codeex.