# My TOP 5 AI Bets for 2026: Multi-Agent AI & Compute Maxxing (Not for beginners) Source: https://www.youtube.com/watch?v=d3rtOcwnqz0 Recap page: https://rapidrecap.app/video/d3rtOcwnqz0 Generated: 2025-09-29T13:33:54.626+00:00 --- ## Quick Overview The video outlines five big bets for AI engineering in 2026, focusing on Custom Agents, deprecating old engineering skills, breaking AGC constraints, advancing multi-agent UIs/IIs, and maximizing compute usage, all culminating in the goal of building living software that works while engineers sleep. **Key Points:** - The top bet for 2026 is leveraging Custom Agents, which immediately places engineers in the top 1% for generative AI work by enabling scaled, domain-specific engineering in a fraction of the time. - Engineers must deprecate old, familiar engineering skills and adopt a new engineering role focused on teaching agents what to do, saving time, space, and energy. - The third bet involves breaking Agentic Coding (AGC) constraints, specifically planning and reviewing loops, to unlock the true scale of agentic coding. - The fourth bet focuses on Multi-Agent UIs & IIs, moving beyond the 'lazy' chat interface to more efficient interaction methods like voice to wield more compute faster. - The final bet is Compute Maxxing: realizing that current compute usage is insufficient and committing to always-on, 24/7 custom agents to solve problems, leading to exponential leverage and true automation. - The course presented, Tactical Agentic Coding (TAC), guides engineers through these concepts, promising to transform them into irreplaceable engineers who build systems that build systems. - The ultimate goal is building 'living software that works for us while we sleep,' achieved through these five bets. ![Screenshot at 00:24: The introduction slide clearly lists the five big bets \(Custom Agents, Deprecate Old Skills, Limit Break AGC Constraints, Multi-Agent UIs & IIs, and Compute Maxxing\) that form the core structure of the 2026 engineering roadmap.](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-00-24.png) **Context:** The presenter, IndyDevDan, outlines his five 'Big Bets' for the state of AI engineering by 2026, framing the discussion around moving beyond basic AI coding into advanced agentic engineering. The video serves as a pitch for his 'Tactical Agentic Coding' (TAC) course, which aims to transition engineers from traditional methods to a new paradigm where agents build and manage software autonomously, thus making the engineer 'irreplaceable.' ## Detailed Analysis The video details five essential bets for AI engineering success by 2026. Bet #1 is Custom Agents, stressing that using them immediately positions engineers in the top 1% of the field due to massive productivity gains and reduced time for complex engineering tasks. Bet #2 demands engineers deprecate old skills, focusing instead on teaching agents new tasks rather than doing them manually. Bet #3 targets limit-breaking the constraints of agentic coding (AGC), specifically the planning and reviewing loops, which are currently the biggest bottleneck. Bet #4 advocates for moving beyond basic chat interfaces to efficient Multi-Agent UIs and Interaction Interfaces (IIs), like voice, to better utilize available compute. Bet #5 is Compute Maxxing, asserting that current compute usage is insufficient and engineers must adopt an 'always-on' agent mentality to solve larger problems. The speaker mentions his course, Tactical Agentic Coding (TAC), which covers these concepts, including 8 tactics of Agentic Coding, and promises to teach engineers to build systems that build systems, leading to exponential leverage and true automation. ### Big Bets for 2026 - Big Bet #1: Custom Agents - Big Bet #2: Deprecate Old Skills - Big Bet #3: Limit Break AGC Constraints - Big Bet #4: Multi-Agent UIs & IIs - Big Bet #5: Compute Maxxing ### Big Bet #1 - Custom Agents: Using custom agents immediately places engineers in the top 1% of the generative AI age by allowing for scaled, domain-specific engineering in fractions of the time it used to take. ### Big Bet #2 - Deprecate Old Skills: Engineers must stop doing tasks their agents can do for them; the focus shifts to teaching agents, saving time, space, and energy. ### Big Bet #3 - Limit Break AGC Constraints: Breakthrough these constraints (planning and reviewing loops) in 2026 to unlock the true scale of agentic coding. ### Big Bet #4 - Multi-Agent UIs & IIs: The chat interface is lazy; invest in more efficient UIs and interaction interfaces (like voice) to wield compute faster. ### Big Bet #5 - Compute Maxxing: Realize you are not using enough compute; the mission is to build living software that works for you while you sleep by using 24/7 custom agents. ### Tactical Agentic Coding (TAC) Course Details - Core 8 lessons (Beginner/Intermediate) plus Agentic Horizon (Advanced/Extended Mastery) lessons; teaches engineers to become irreplaceable by building systems that build systems; includes bonuses like private repos and AI Coding principles. ![Screenshot at 00:01: Introduction slide showing the creator, IndyDevDan, and the theme of agentic coding.](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-00-01.png) ![Screenshot at 00:13: A quote emphasizing that every plan is a bet on the future, and the trick is choosing the right bets.](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-00-13.png) ![Screenshot at 01:08: Slide introducing Big Bet #1: Agents, highlighting their untapped ROI for engineers.](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-01-08.png) ![Screenshot at 02:02: Slide introducing Big Bet #2: Deprecate Old Skills, using a pencil symbol to represent erasing old ways.](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-02-02.png) ![Screenshot at 03:01: Slide introducing Big Bet #3: Limit Break AGC Constraints, showing the Plan/Review loop as a key area of focus.](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-03-01.png) ![Screenshot at 07:24: Slide introducing Big Bet #4: Multi-Agent UIs & IIs, criticizing the chat interface as 'lazy and most overused.'](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-07-24.png) ![Screenshot at 09:38: Slide introducing Big Bet #5: Compute Maxxing, featuring a graph showing usage scaling exponentially with Time x Skill.](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-09-38.png) ![Screenshot at 14:46: The landing page for the 'Tactical Agentic Coding' course, summarizing the course goal: making your codebase run itself.](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-14-46.png) ![Screenshot at 16:53: A warning slide stating the course is 'NOT FOR BEGINNERS' and is exclusively for the top 20% of engineers actively shipping production code.](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-16-53.png) ![Screenshot at 17:37: A key diagram showing the engineer building an Agentic System, which in turn builds the Applications, representing compounding performance.](https://ss.rapidrecap.app/screens/d3rtOcwnqz0/00-17-37.png)