Collection summary Coding
Pi Agent dev reveals his Agentic Engineering Workflow
From David Ondrej Podcast — selected agentic engineering conversations
David Ondrej · Source dated 12 Sept 2026
Recently added
New to this library, not necessarily new to the world.
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video Coding
Building ambitious software — Jonathan Kelley, Dioxus Labs & Cognition
Jonathan Kelley describes where coding agents helped the Dioxus team: platform integrations, CSS debugging, release checklists, backports, documentation, and fuzzing harnesses. He contrasts fast code generation with the harder work of architecture, meaningful test design, and line-by-line review. A maintainer's experience report, not an independently measured productivity study.
AI Engineer · Source dated 11 Sept 2026
video Coding
Trying the new Claude Eval tool
Hamel Husain and a co-host try Claude's plugin evaluation workflow on a plain-writing skill. They question opaque scores and synthetic tests, find invocation checks useful, and propose collecting feedback and edits during normal use. A caption-backed first-use experience report, not a controlled benchmark or a comprehensive product review.
Hamel Husain · Source dated 12 Sept 2026
video AI
AI's Hidden Debt Problem Explained
The Plain Bagel distinguishes purchase commitments, project funding, future leases, and financial guarantees in AI infrastructure spending. His analysis explains why headline totals are not equivalent to ordinary debt while arguing that fixed payments reduce flexibility if AI demand disappoints.
The Plain Bagel · Source dated 11 Sept 2026
video AI
The next 50 years: humanity, AI, power | Yuval Noah Harari
Yuval Noah Harari and Tom Parker discuss how AI could gain power through economic and legal systems. Harari connects that forecast to democratic conversation, technological dependence, intimate relationships, and the difference between solving problems and choosing worthwhile goals.
Yuval Noah Harari · Source dated 30 Jul 2026
video AI
AI has hacked the code of human civilization | Yuval Noah Harari
In his 2026 Tanner Lecture, Yuval Noah Harari argues that AI could gain influence by operating the language-based institutions through which people already coordinate society. His examples connect bureaucratic authority to finance, news selection, and intimate relationships; the title's hacking metaphor is not a software exploit.
Yuval Noah Harari · Source dated 30 Jun 2026
video AI
Yuval Noah Harari on Donald Trump’s Core Delusion | The Ezra Klein Show
Ezra Klein and Yuval Noah Harari discuss cooperation, liberal institutions, Israel and Palestine, then algorithmic media, AI relationships, and accountability. The first hour is primarily politics and history; their later AI debate weighs personalized assistance against proposed risks of manipulation and loss of human control.
The Ezra Klein Show · Source dated 26 May 2026
video AI
Building Trust in the Age of Disinformation – What Future Awaits Us? | Yuval Noah Harari
Yuval Noah Harari and Marijana Grbeša discuss how algorithms mediate trust, Europe's AI dependence, and the distinction between language-based intelligence and human experience. Harari forecasts changes to financial and religious authority; closing passages address war rather than AI.
Yuval Noah Harari · Source dated 26 Feb 2026
Collection summary Coding
What Changes After You Join YC? | Jinjing Liang (Orca ADE, Co-founder & CEO)
From The West Coast Builders — coding-agent collection
Mayank Gupta · Source dated 29 Aug 2026
Collection summary Coding
What Is the Computer For Now?
From Raising an Agent Season 2 - Series
Amp, Inc. · Source dated 10 Sept 2026
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video AI
AI's mathematical results are not a bad thing
Salvatore Sanfilippo argues that AI-generated mathematical proofs can add knowledge and become material for human study, simplification, and new techniques. He connects reactions to these results with the loss of professional status felt when coding agents outperform familiar work. His account of the result and Terence Tao's position is opinion commentary, not an independent mathematical assessment.
Salvatore Sanfilippo · Source dated 9 Sept 2026
Collection summary Coding
Building Codex with Tibo Sottiaux
From The Pragmatic Engineer — selected conversations
The Pragmatic Engineer · Source dated 9 Sept 2026
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Collection summary CodingAI
AGI, benchmark e altri spinosissimi problemi: ZiP 5
From ZiP — Salvatore Sanfilippo & Enkk
Salvatore Sanfilippo & Enkk · Source dated 8 Sept 2026
Collection summary Coding
Testing, Architecture, and the Limits of Agent Productivity
From State of Agentic Coding - Series
Armin Ronacher · Source dated 9 Sept 2026
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video AI
Sam Altman on Astra, AGI, and the future of OpenAI
Sam Altman discusses delayed frontier reinforcement-learning runs, alignment as following user intent, Astra computer use, and a unified ChatGPT/Codex experience. He also addresses compute constraints, privacy, and OpenAI's product priorities. A company leader's account and roadmap, not an independent evaluation of model capabilities or safety guarantees.
Sources Podcast · Source dated 1 Sept 2026
video AI
Paul Graham On Startups, Ambition, and Great Founders
Paul Graham discusses ambition, founder determination, starting with limited capital, and YC's batch model. The AI-relevant sections cover uneven model capabilities, shipping speed as a continuing signal, and inference bills as a new startup cost. A founder interview offering experience and opinion, not a coding-agent tutorial or a measured forecast of AI economics.
Y Combinator · Source dated 8 Sept 2026
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video Coding
Just stop looking at the code - Kent C. Dodds
Kent C. Dodds and Joel Hooks discuss turning agent-driven processes into durable software, composing reusable primitives, recording invariants and architecture decisions, and keeping product choices and accountability human. Dodds describes Kody's risk-based auto-merge workflow and domain-checked secret substitution. This is a practitioner account from an early-access product, not proof that code review is unnecessary or that agents are immune to prompt injection.
MEGA DEV · Source dated 7 Sept 2026
video Coding
Agentic UX: Three Ways to Let an Agent Build Its Own UI - Tyler Slaton, CopilotKit
Tyler Slaton demonstrates an incident-triage agent with CopilotKit and Mastra, moving from tool-mapped React components to schema-driven composition and open-ended UI generation. He shows suspend/resume approval and Slack delivery through AG-UI. A vendor-led demonstration of UI design trade-offs, not evidence of production incident remediation or secure execution of generated code; the self-learning SDK is described as work in progress.
Mastra · Source dated 7 Sept 2026
video Coding
Anthropic Just Revealed 7 New Rules for Prompting Claude 5 Models
Ben AI presents seven prompting rules: specify the whole job, clarify unknowns, explain intent, define completion, give reasons for guardrails, avoid redundant double-check prompts, and set a reusable output style. A creator's interpretation of Anthropic guidance with personal examples, not a comparative evaluation; the advice about verification prompts should not replace task-specific tests or required review.
Ben AI · Source dated 2 Sept 2026
video Coding
My Agentic Engineering Workflow (after 6,775 sessions)
David Ondrej walks through his multi-agent setup: persistent VPS sessions, reusable planning and review skills, worktree isolation, serialized shipping, architecture decision records, and read-only production analysis. A Hostinger-sponsored practitioner demo, not a productivity benchmark or security recipe; command-pattern hooks do not establish safe unrestricted execution, and the root-access and credential-discovery example should not be copied as a default.
David Ondrej · Source dated 7 Sept 2026