with-agents

Recently added

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

Added

video Coding

I can't sleep gud anymore - A Practical Guide to Agentic Computering

Mario Zechner demonstrates a control-heavy Claude Code workflow for established codebases: reviewed project docs, pre-compaction task summaries, jq-queried symbol indexes, persisted porting plans, compilation, and human checkpoints. His report that this cut a 68-file Spine runtime port from about two weeks to one day is an anecdote without logs or a baseline. The July 2025 Claude Code internals and pricing are historical, and his permission-bypass flag is not a security recommendation.

Mario Zechner · Source dated 1 Jul 2025

podcast Coding

High Leverage - Ep. #9, The AI Coding Paradigm Shift with Simon Willison

Joe Ruscio interviews Simon Willison about adapting software practice when coding agents make implementation cheap. Willison proposes concentrating design in a stable data model and API beneath vibe-coded interfaces, scaling human review with the consequence of the code, and treating sustained real-world use as stronger trust evidence than generated tests or docs. His reliability, speed, cost, and market claims are practitioner reports, not controlled comparisons.

Heavybit · Source dated 5 May 2026

video Coding

Google's Open Knowledge Format: Just Markdown for AI Agents

Prism Labs explains Google Cloud’s v0.1 Open Knowledge Format proposal: concepts are Markdown files with minimal YAML metadata, ordinary links between them form a graph, and optional index and log files add navigation and history. Google supplies a BigQuery enrichment agent, a graph visualizer, sample bundles, and Knowledge Catalog ingestion as first-party proofs of concept. The recording shows no independent cross-vendor interchange or retrieval-quality evidence, and it misstates which fields are required.

Prism Labs · Source dated 14 Jun 2026

video Coding

How Anthropic uses Claude Code: Agentic Software Engineering at Scale - Daisy Hollman

Claude Code engineer Daisy Hollman explains a context-budgeted approach to agentic engineering beyond one repository: audit external work systems, treat context and prefix-cache costs as architecture constraints, and prefer lazy or event-driven context. She compares MCP tools, skills, subagents, and hooks, then shows her worktree, messaging, and scheduled-wake-up setup. The cache, cost, and throughput claims are presenter or vendor reports without comparative methods; several roadmap details are tentative.

NDC Conferences · Source dated 11 Aug 2026

video Coding

The Last Human Code Review: Building Trust in AI-Generated Code — Itamar Friedman, Qodo

Qodo CEO Itamar Friedman proposes a gradual path from human-reviewed pull requests to automated approval: cite the team’s own rules in each review, watch where humans still intervene, then add approval policies step by step. A proposed context engine attaches rules, service contracts, and incident history to a software graph. This is a vendor proposal, not an evaluation: review accuracy and defect outcomes are unmeasured, and rollback is unspecified.

AI Engineer · Source dated 20 Aug 2026

Added

podcast Coding

DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux

Lex Fridman interviews David Heinemeier Hansson about moving from handwritten code to agent-driven development. DHH reports that agents wrote all new functionality in Omarchy Quattro, while a Basecamp experiment showed that individually plausible generated changes can collectively damage a mature architecture. He recommends describing problems rather than prescribing implementations, preserving system shape, and keeping human judgment on product direction and merges. His speedups, costs, model rankings, and labor forecasts are practitioner reports, not controlled comparisons.

Lex Fridman · Source dated 26 Aug 2026

video Coding

Don't Build Agents, Build Environments Instead

Modal’s Adam Azzam argues that the hard part of background coding agents is the environment around the harness. He distinguishes bare sandboxes from task-ready dev boxes, explains why agent sessions need persistence and fast resumption rather than CI-style reruns, and recommends versioned per-repository images, secret-injecting proxies, and a separate control plane. The Ramp scale, pull-request share, and startup-time figures are first-party reports in a Modal product talk.

Hamel Husain · Source dated 25 Aug 2026

Added

podcast Coding

How AI Is Changing Software Development with Simon Willison

Claire Giordano interviews Simon Willison about delegating implementation to coding agents while keeping understanding and accountability for production software. Willison uses explicit success criteria, red-green TDD, small reviewable changes, and aggressive nitpicking, and he discards off-concept generated features to protect conceptual integrity. His speed, cost, security, and labor observations are practitioner reports and forecasts, not controlled measurements.

Talking Postgres · Source dated 14 Aug 2026

Collection additions Coding

Matt Pocock: Agent Skills and Engineering Workflows

A reviewed seven-video route through Matt Pocock’s agent-skills and engineering-workflow uploads from May 25 to August 19, 2026. Six tutorials cover Grill Me interviews, anti-slop review, repository-aware implementation, throwaway prototypes, Wayfinder decision maps, agent-facing writing, deterministic setup, and collaborator questionnaires. In a conversation hosted by Pocock, Uncle Bob Martin argues for deterministic quality gates, specialized agents, and modular architecture. The demonstrations and productivity claims are practitioner evidence, not controlled comparisons.

Matt Pocock

6 summaries on this page

Added

video Coding

Every Repo Is a Software Factory Now | Don Syme, GitHub

GitHub Principal Researcher Don Syme defines continuous AI as recurring, shared agent work that runs beside deterministic CI/CD. He explains GitHub Agentic Workflows: bounded repository context, permission and security controls, scheduled cost management, concurrent model evaluation, and quality gates that give human reviewers evidence. The claims are first-party reports about a public-preview product, without an independent security assessment or comparative data.

AI Native Dev · Source dated 18 Aug 2026

video Coding

Creator of TypeScript: 10x Faster TypeScript, Why AI Won't Replace SWEs | Anders Hejlsberg

Ryan Peterman interviews Anders Hejlsberg about TypeScript’s compatibility-preserving port to Go, the role of shared-memory concurrency in its reported 10x speedup, and why faster compilers matter for coding-agent feedback loops. Hejlsberg recommends using AI to build deterministic transformation tools rather than trusting one-off answers, argues that typed languages benefit agents, and keeps responsibility with engineers who review what they ship. The performance and capability claims are first-party reports and practitioner judgments.

Ryan Peterman · Source dated 17 Aug 2026

video Coding

Beyond Code Coverage: Functionality Testing with Playwright MCP

Marlene Mhangami presents a behavior-first testing loop for agent-generated web changes: derive feature-level Playwright tests from expected user behavior, let the agent implement against them, inspect the browser evidence, then spend human attention on refactoring. A prepared GitHub Copilot CLI and Playwright MCP demo exercises search and filtering in a sample app. It illustrates the workflow without comparing defect detection or maintenance cost with other approaches.

AI Engineer · Source dated 16 May 2026

video CodingAI

Software Development Now Costs Less Than Minimum Wage

Geoffrey Huntley argues that cheap inference and persistent agent loops are lowering the cost of implementation and will favor lean, model-first companies. He recommends deliberate practice, building a small agent to understand the loop, modernizing workflows before adoption, and shifting judgment toward what should be built. The headline $10.42-per-hour figure omits workload, quality, and supervision details; the productivity, staffing, and market claims are first-party anecdotes or forecasts.

Geoffrey Huntley · Source dated 5 May 2026

Search

Search field guides and resources across the site.

    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.