with-agents

Recently added

New to this library, not necessarily new to the world.

Added

Collection additions Coding

Syntax: Practical Agent Workflows

An editorial selection from Syntax's channel uploads, combining the existing Zed/Delta interview with five videos on code review, remote coding agents, long-term memory, and MCP. The summaries distinguish demonstrations, practitioner reports, proposals, and product claims from independently measured outcomes. This is not an official Syntax course or a summary of the full uploads playlist.

Syntax

5 summaries on this page

Added

video Coding

How We Solved Agent Building — Andrew Qu, Vercel

Andrew Qu explains how Vercel evolved D0 from a large prompt and a chain of agents into a sandbox-based data agent with company knowledge and reusable query skills, then packaged the approach in Eve. A transcript-backed practitioner account; evaluation gains and organizational outcomes are speaker-reported.

AI Engineer · Source dated 14 Sept 2026

Read summary →
Collection additions CodingAI

ZiP — Salvatore Sanfilippo & Enkk

A combined episode guide to Salvatore Sanfilippo and Enkk's Italian-language conversations across both channels: coding-model workflows, local inference, AI safety, interpretability, text watermarking, AGI labels, and evaluation through useful work. The guide records summary coverage because the hosts' separate YouTube playlists are incomplete. Opinions, proposals, and project anecdotes are not controlled evaluation results.

Salvatore Sanfilippo & Enkk

4 summaries on this page
Collection additions Product & Decision-Making

The Knowledge Project — selected conversations

Five selected conversations on product judgment, decision-making, and AI adoption: Geoffrey Cain on Steve Jobs's NeXT years, Benedict Evans on technology shifts, Bret Taylor on AI products, Patrick Collison on building Stripe, and Gary Klein on expertise and pre-mortems. Attributed experiences, proposals, and forecasts—not validated management prescriptions.

The Knowledge Project Podcast

5 summaries on this page

Added

article Coding

Astra for Coding: Why Are We Doing This Again?

Armin Ronacher critiques Astra's code readability and review burden after an unattended CPython experiment and everyday coding use. Concrete examples distinguish disposable tool-call scripts from maintainable committed code; his explanation involving training incentives is a hypothesis, not a verified account of model training.

Armin Ronacher · Source dated 7 Sept 2026

Read summary →
video Coding

Kotlin 2026: Layoffs, AI, Google — Is the Golden Age Over? Jake Wharton Explains

Jake Wharton discusses Kotlin's evolution, opposition to mandatory AI adoption, and why language tooling and shared libraries matter beyond generating code. He also explains Cash App's native-UI multiplatform architecture and argues that consumers should help maintain their dependencies. A JetBrains interview based on engineering experience and personal values; his AI cost and quality forecasts are opinions, not results from using coding agents.

JetBrains · Source dated 10 Sept 2026

Read summary →
video AI

Il rischio AI è ormai accettato

Salvatore Sanfilippo distinguishes acknowledging AI risk from predicting imminent extinction. He discusses cyber and biological misuse, recursive self-improvement, and international coordination, then proposes limits on model parameter counts rather than a complete research stop. Italian-language opinion commentary; his risk assessments and proposed safeguards are not validated safety findings.

Salvatore Sanfilippo · Source dated 13 Sept 2026

Read summary →
video Coding

How a Cloudflare Engineer Ships Production Code He Didn't Write | Dillon Mulroy

Dillon Mulroy explains how he steers coding agents with TypeScript types, call paths, planned tests, Pi conversation branches, and local review of small stacked changes. He also discusses lost flow, human accountability, overlapping team roles, and the cost of autonomous loops. A practitioner interview, not an independently measured productivity study or a verification of provider policies.

Jan-Niklas Wortmann · Source dated 10 Sept 2026

Read summary →
video AI

Sir Demis Hassabis on the AI Revolution, the Future of AI and Human Creativity | Hannah Fry

Demis Hassabis and Hannah Fry discuss AI-assisted creative prototyping, why human experience may still matter in art, and who shapes the benefits of more autonomous AI. Hassabis proposes personalized tutoring alongside collaborative classrooms and argues for valuing health and inspiration in architecture. His optimistic forecasts and first-party accounts are presented as views, not independently established outcomes.

Royal Society of Arts · Source dated 11 Sept 2026

Read summary →

Search

Search field guides and resources across the site.

    Search stays in your browser

    Keyboard shortcuts

    Press ? to open this guide (usually Shift + /). Close it before using other site shortcuts.

    Show keyboard shortcuts
    ?
    Search site
    Ctrl + K
    Close the current dialog or menu
    Esc

    Site shortcuts are ignored while typing. Browser and extension shortcuts may take priority.