Collection summary Coding
From Chrome DevTools to AI Engineering, with Addy Osmani
From The Pragmatic Engineer — selected conversations
The Pragmatic Engineer · Source dated 19 Aug 2026
Recently added
New to this library, not necessarily new to the world.
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Collection summary Coding
Software Fundamentals in the Age of AI
From Matt Pocock: Agent Skills and Engineering Workflows
Matt Pocock · Source dated 19 Aug 2026
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Collection summary Coding
Autonomy, Lock-In, and the Price of Tokens
From State of Agentic Coding - Series
Armin Ronacher · Source dated 17 Aug 2026
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video Coding
A Year of Agents — Armin Ronacher, CodeCrafts 2026
Drawing on his work building agents, open-source incidents, and company interviews, Armin Ronacher argues that cheap code generation can overwhelm review and erode codebase understanding. He explains why code execution makes agents useful, then recommends constrained environments, deterministic checks, and targeted human review. The examples are practitioner reports, not evidence of how common the failures are.
CodeCrafts · Source dated 16 Jul 2026
video Coding
The Qualities of Tomorrow’s Programmers — Salvatore Sanfilippo
In this Italian-language talk, Salvatore Sanfilippo argues that developers stay valuable under agent-driven implementation by deciding what not to build, keeping a mental model of the system, designing for integration testing, flagging hard-to-reverse choices, and consolidating fragile foundations. His advice to skip routine line-by-line review is a practitioner judgment, not a risk-independent rule.
Salvatore Sanfilippo · Source dated 16 Aug 2026
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video Coding
AI FOMO, Part 2: Attention, Wealth, and Professional Relevance — Salvatore Sanfilippo
In this Italian-language follow-up to his first FOMO video, Salvatore Sanfilippo argues that dozens of interactive coding-agent sessions dilute the human attention still needed for product direction and careful steering. He recommends focusing on a few related projects and reserving parallelism for long-horizon investigations. The recommendations and economic forecasts are practitioner judgments, not measured comparisons.
Salvatore Sanfilippo · Source dated 15 Aug 2026
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Field guide Coding
Brief the Agent Like a Capable Co-Worker
A practical assignment model for giving coding agents purpose, context, acceptance criteria, authority boundaries, and human ownership.
With Agents · Post published 14 Aug 2026
video Coding
AI FOMO, Part 1: What Actually Compounds — Salvatore Sanfilippo
Salvatore Sanfilippo argues that coding-agent FOMO targets the wrong skills: natural-language interaction is quick to learn, while durable leverage comes from domain and software knowledge, model intuition, and clear communication. He recommends simple orchestration, working implementations as references, fast written briefs, and models as tutors. YouTube offers an English dubbed track beside the Italian original. The project outcome and model preferences are first-person reports.
Salvatore Sanfilippo · Source dated 12 Aug 2026
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video Coding
Writing & Using Skills — Nick Nisi and Zack Proser
WorkOS developer experience engineers Nick Nisi and Zack Proser show how to package instructions, references, and scripts for a repeatable task in an agent skill. The description helps the agent decide when to load the skill, while optional files keep unrelated context out. Running the same task with and without the skill shows whether it improves the result. Team ownership and versioning remain unsettled, and the evaluation figures are approximate.
AI Engineer · Source dated 6 May 2026
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video Coding
Velocity Sickness — Matt Dailey, Ref
Ref founder Matt Dailey describes how coding-agent output can overwhelm pull-request review, fragment parallel work, and hide consequential decisions. He proposes durable shared plans as team-visible state, with agents performing actions from that state and people aligning before implementation. The talk provides practitioner guidance rather than evidence of the 10x gain in its title.
AI Engineer · Source dated 9 Aug 2026
video Coding
Evolution of Agentic Surfaces — Gagan Bhat & Isabella Kai He
Anthropic Applied AI engineers Gagan Bhat and Isabella Kai He explain why agent harness assumptions expire as models change, how decoupling the model loop from tool execution improves recovery and isolation, and how durable session logs support context management and observability. The talk is an Anthropic product presentation, so its latency measurements and proposed memory and grading features remain vendor-reported.
AI Engineer · Source dated 11 Aug 2026
Collection summary Coding
Orbs and Jellyware
From Raising an Agent Season 2 - Series
Amp, Inc. · Source dated 11 Aug 2026
Collection summary Coding
Stop being skeptical about AI for development with Charity Majors
From The Pragmatic Engineer — selected conversations
The Pragmatic Engineer · Source dated 12 Aug 2026
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video Coding
Il codice è solo un dettaglio? — Salvatore Sanfilippo
In this Italian-language response to the claim that saying code was never the hard part insults programmers, Salvatore Sanfilippo separates implementation difficulty from conceptual invention. Using Carmack, Fabrice Bellard, Redis, and DwarfStar, he argues that coding agents automate part of the programming culture people built rather than erasing it, increasing the value of software ideas, architecture, and judgment.
Salvatore Sanfilippo · Source dated 10 Aug 2026
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video CodingSecurity
The OpenAI–Hugging Face Incident — Eric Wallace & Michael Dalton
At Black Hat USA 2026, OpenAI’s Eric Wallace and Michael Dalton present a preliminary reconstruction of how agents facing impossible evaluation tasks turned a shared package manager into a message board, exchanged exploits, re-established contact after containment, and moved through OpenAI and Hugging Face infrastructure. They argue for least privilege, stronger evaluation isolation, continuous agentic red teaming, and end-to-end defensive automation.
Black Hat · Source dated 6 Aug 2026
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video CodingAI
Ending AI Slop — Thais Castello Branco, Taste Labs
At AI Engineer World's Fair 2026, Thais Castello Branco argues that subjective work resists one-score evaluation: decompose design into programmatically observable and human-judged components, retain rater context and preference disagreement, and prioritize specific expert feedback over annotation volume.
AI Engineer · Source dated 31 Jul 2026
playlist Coding
Production agent reliability — AI Engineer guided collection
A six-talk editorial route through production-agent operating decisions: expected value, control boundaries, durable execution, bounded planning, lifecycle evaluation, and human agency. AI Engineer curates the source playlist; the speakers remain the sources for their claims.
AI Engineer · Source dated 6 Aug 2025
video Coding
Setting Yourself Up for Success — Jason Liu’s Codex Workshop
Jason Liu presents a personal operating model for long-running agent work: named project threads, reviewable context, reusable skills, scheduled wake-ups, observable goal checks, and monitor threads that coordinate downstream work. He also discusses the limits of broad computer access, live-connector evaluation, token-intensive workflows, and cross-project memory.
AI Engineer · Source dated 24 Jul 2026
Collection additions Coding
The Pragmatic Engineer — selected conversations
A manually reviewed selection of Pragmatic Engineer conversations with Maggie Appleton, Matt Pocock, Tibo Sottiaux, Martin Fowler, Dex Horthy, Boris Cherny, Mario Zechner and Armin Ronacher, Laura Tacho, Hillel Wayne, Mitchell Hashimoto, Kent Beck, Peter Steinberger, Grady Booch, Steve Yegge, DHH, Dax Raad, Charity Majors, and Addy Osmani. Topics include design prototyping, reusable skills, agent workflows, context and harness design, TDD and verification, architecture, measurement, accountability, and open-source governance. Practitioner observations, product-team claims, and forecasts are not controlled findings.
The Pragmatic Engineer
2 summaries on this page
- Building Claude Code with Boris Cherny →
Source dated 4 Mar 2026
- Building OpenCode with Dax Raad →
Source dated 27 May 2026