Agentic Engineers Redefine Software Development Amidst AI Integration - Episode Hero Image

Agentic Engineers Redefine Software Development Amidst AI Integration

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TL;DR

  • Agent-native architectures will enable users to command AI agents to perform any action the application itself can execute, transforming software into dynamic, user-driven experiences.
  • Designers will emerge as key AI power users, leveraging AI to translate their vision into functional applications, overcoming previous coding limitations and enabling richer user experiences.
  • The rise of "agentic engineers" signifies a shift in software development, where professionals manage AI agents to build software rather than writing code directly, creating a new specialized skill set.
  • Deepfakes and AI-generated content will pose significant election integrity risks, potentially necessitating mandatory AI labeling to maintain public trust and combat misinformation.
  • The distinction between traditional engineers, AI-assisted engineers, and agentic engineers will solidify, with the latter representing the future growth area in software development.
  • AI progress will continue rapidly, yet true Artificial General Intelligence (AGI) remains complex and unlikely to be achieved by 2027, requiring further advancements in autonomy and continuous learning.

Deep Dive

AI progress will continue its rapid acceleration through 2026, fundamentally reshaping software development and user interaction. While truly advanced artificial general intelligence (AGI) remains distant, the capabilities of AI agents will become deeply embedded within everyday applications, enabling new forms of creation and interaction. This evolution necessitates a redefinition of software engineering skills, shifting focus from traditional coding to agent management and strategic delegation.

The landscape of software development is bifurcating. On one end, traditional engineers will increasingly leverage AI as an accelerant to their existing workflows, using tools like Cursor and Cloud Code to enhance productivity without fundamentally changing their approach. On the opposite end, "vibe coders" will continue to experiment and build with AI, often without deep technical understanding. A third, emerging category of "agentic engineers" will redefine the profession by fully delegating programming tasks to AI agents, focusing instead on managing and directing these agents to achieve desired outcomes. This shift means that while traditional engineering roles will persist, long-term growth and innovation will reside with those who master agent orchestration. Educational institutions face a challenge in adapting their curricula to prepare students for this new paradigm, creating an opportunity for specialized training programs to fill the gap.

Furthermore, AI's integration will profoundly impact user experiences, making applications more intuitive and personalized. The concept of "agent-native architecture" will become prevalent, meaning that within any given application, AI agents will possess the capability to perform actions that users can execute, and eventually, actions that only developers could previously trigger. This will empower users to customize software, fix bugs, and even propose new features through natural language interaction. Designers, in particular, are poised to become key beneficiaries, as AI tools will enable them to translate their vision into functional experiences without needing to code, bridging the gap between creative intent and execution.

However, this rapid integration also presents significant challenges. The proliferation of AI-generated content, from realistic images to synthesized videos, raises concerns about authenticity and truth, especially in the context of elections and public discourse. The lack of clear labeling for AI-generated media makes it increasingly difficult for individuals to discern real from artificial, potentially leading to widespread misinformation. Additionally, the scaling of AI-driven businesses requires careful consideration of company culture. As teams grow, maintaining a sense of shared purpose and individual contribution becomes more difficult, necessitating a strategic approach to preserve the innovative spirit that fuels AI development. The ultimate realization of autonomous AI agents, capable of continuous operation and learning without constant human prompting, remains a complex technical and economic challenge, requiring advancements in continuous learning, goal management, and a nuanced understanding of AI "quirks" that diverge from human intent.

Action Items

  • Audit AI-generated content: Implement a system to flag or label AI-generated media (e.g., videos, images) across 3-5 platforms to combat misinformation.
  • Design agent-native architecture: Define requirements for applications where user actions can be performed by AI agents, focusing on 3 core user interaction types.
  • Create designer enablement tools: Develop or identify 2-3 tools that empower designers to build and iterate on user experiences without direct coding.
  • Train compound engineers: Establish a curriculum or framework for developing engineers skilled in managing AI agents, focusing on 4 key skill areas.
  • Measure AI impact on roles: Track the adoption and effectiveness of AI tools within non-technical roles (e.g., deal desks) across 3-5 teams to assess skill evolution.

Key Quotes

"The big ai ceos like dario and sam altman in 2024 said that 2025 would be the year of agents and it really was like we got there we did it I think sam said like it's less than a thousand days away maybe like a year ago so that's in two years and now their timelines have shifted"

Brandon Gell notes that prominent AI CEOs predicted 2025 would be the year of agents, and this prediction largely came to fruition. However, Gell observes that these same leaders have since adjusted their timelines for achieving Artificial General Intelligence (AGI), suggesting a more complex and lengthy path than initially anticipated.


"I think that designers are the next big superheroes of the AI age like they have been uniquely enabled in this world because forever designers have what they're good at is they have a lots of taste and they have like a vision for how they want an app to work and they've just bumped up against like well I have to convince this developer to do this for me for a long time and I just see so a good example is lucas our creative director inside of every he has turned into this machine where he's not only like this incredibly creative designer art director kind of person he's also like vibe coding little apps that let him do his work better"

Dan Shipper posits that designers are poised to become significant figures in the AI era, as AI tools now empower them to translate their creative vision and taste directly into functional applications. Shipper highlights Lucas, Every's creative director, as an example of a designer who has leveraged these tools to both enhance his creative output and develop functional apps.


"I think that we will definitely see layoffs that companies blame on ai in 2026 and I think mostly they will not be actually ai related they will be about the underlying business but they'll use ai as a good excuse"

Brandon Gell predicts that companies will attribute layoffs in 2026 to AI, but he suggests these will often be a pretense for underlying business issues rather than a direct consequence of AI implementation. Gell believes AI will be used as a convenient justification for workforce reductions.


"I think AI progress is still really fast and it's kind of mind blowing where where we are now versus where we were a year ago and I think that will be the case in at the end of 2026 I think we'll be sitting here being like wow it's like actually a lot better and the world and agi however you define that is a lot more complicated and hard than we thought"

Dan Shipper asserts that AI progress continues at a rapid pace, noting the significant advancements made in the past year and anticipating similar acceleration by the end of 2026. Shipper also acknowledges that the realization of AGI, regardless of its definition, is proving to be a more intricate and challenging endeavor than initially perceived.


"I think there's like now basically three types of software engineers maybe there's four types one type is just traditional engineer and never uses ai which I think is getting less and less but like they're definitely still a thing it's definitely they're definitely still there they're super skeptical all that kind of stuff but the more interesting thing are the are the other three"

Dan Shipper identifies a shift in software engineering, outlining three to four distinct categories of engineers. Shipper notes that while traditional engineers who avoid AI still exist, the more significant development lies in the emergence of other groups, particularly those who integrate AI into their workflows or adopt entirely new AI-centric approaches to engineering.

Resources

External Resources

Articles & Papers

  • "2025 would be the year of agents" - Mentioned as a prediction made by AI CEOs.
  • "The year of agents" - Mentioned as a prediction made by AI CEOs.
  • "Cloud Code Camp" - Referenced as a live webinar for subscribers.
  • "Lenny's podcast" - Mentioned as a catalyst for business growth.
  • "Agent native architectures" - Discussed as a new idea for software architecture.
  • "Compend Engineering plugin" - Mentioned in relation to coding agents.
  • "Atlas browser" - Referenced for its ability to perform user interface actions.
  • "Sora" - Mentioned in the context of Disney characters being put into it.
  • "Claude Code" - Discussed as a tool that can run for hours to fix problems.
  • "ChatGPT" - Mentioned as a tool for non-technical users and for recipes.
  • "ChatGPT Pro" - Mentioned in relation to running for extended periods.

People

  • Dario - Mentioned as an AI CEO who made predictions.
  • Sam Altman - Mentioned as an AI CEO who made predictions.
  • Brandon - Mentioned as the COO at Every.
  • Willie - Mentioned as a talented individual building the Every platform.
  • Lucas - Mentioned as the creative director at Every.
  • Naveen - Mentioned as someone who runs Monologue and is a good example of an engineer.
  • Dan Shipper - Mentioned as the captain of the spaceship in the show.

Organizations & Institutions

  • Every - Mentioned as a company that experienced a breakout year and is building a platform.
  • OpenAI - Mentioned in relation to Disney's deal and for their coding tools.
  • Anthropic - Mentioned as leading the way in agentic development and for their models.
  • Notion - Mentioned as doing well with AI integration.
  • Disney - Mentioned for a deal with OpenAI.
  • Twilio - Mentioned as the company where Graham works.

Tools & Software

  • Cora - Mentioned as an AI email assistant.
  • Sparkle - Mentioned as one of the company's AI software apps.
  • Spyro - Mentioned as a version of an AI ghostwriter.
  • Monologue - Mentioned as an AI software app.
  • Excel - Mentioned in relation to non-technical users doing analysis.
  • Revit - Mentioned as a software that students had to teach themselves.
  • AutoCAD - Mentioned as a software that students had to teach themselves.

Other Resources

  • AGI (Artificial General Intelligence) - Discussed as being more complicated and hard than initially thought, and not expected in 2027.
  • Agents - Discussed as a key development in 2025.
  • Newsletters - Mentioned as the initial business model of bundling.
  • Compound Engineers - Mentioned as engineers who have reinvented software engineering for an agent world.
  • Agentic Engineers - Mentioned as engineers who are reinventing software engineering for an agent world.
  • Vibe Coders - Described as people who don't know how to code but are making something.
  • Agent Native Architectures - Discussed as a new way of architecting software.
  • Deep fakes - Mentioned as a scary word that is no longer commonly used, and a concern for election cycles.
  • AI Email Assistant - Mentioned as a product category.
  • AI Ghostwriter - Mentioned as a product category.
  • AI Software Apps - Mentioned as part of the company's offerings.
  • AI First Business - Mentioned as a concept the company is figuring out.
  • AI Progress - Discussed as still being fast and mind-blowing.
  • Alignment Training - Mentioned as a process for making models predictable.
  • Human or Child Development - Used as an analogy for AI autonomy.
  • Continuous Learning - Mentioned as a requirement for AI.
  • Individual Personhood - Suggested as a potential trait for AI agents.

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