The hottest Automation Substack posts right now

And their main takeaways

Claude Code Agents 101: Build Your First AI Agent from Scratch (+ 75 Copy-Paste Prompts)

The Product Channel By Sid Saladi • 20 implied HN points • 23 Mar 26

🕹 Technology Automation

AI agents are autonomous software that take actions to achieve outcomes, chaining steps and using tools until a job is done — unlike chatbots that just answer questions.
Claude Code is an AI-powered developer environment and full agent runtime with built-in tools, sub-agent support, memory, skills, and connectors, so you can describe the task and it handles the execution.
These tools dramatically lower the barrier to building production agents, so you don’t need deep CS skills to create automation, and being able to build agents is a high-value skill for future jobs.

White Collar Goes Blue

Working Theorys • 338 implied HN points • 06 Mar 26

💼 Business Automation

AI is making intelligence abundant, so the luxury rights of white‑collar work—autonomy, creative ownership, flexible schedules—are shrinking and many white‑collar roles will be rescaled into trade‑like, execution-focused jobs.
Organizations are likely to split into a small elite, named team that shapes direction and keeps the perks, and a larger, anonymous team that executes defined tasks; this two-tier model turns white‑collar work more like blue‑collar structure.
To keep the premium, people must make themselves scarce through distinctive skill, public influence, or trusted relationships—or embrace apprenticeship and trade pathways as white‑collar norms migrate toward physical, executional work.

How I've used AI to improve my work

Odds and Ends of History • 1340 implied HN points • 17 Feb 26

🕹 Technology Automation

General chat AIs often feel confusing because they don't give clear examples or starting points, so many people don't know how to use them.
Specialist coding AIs that can edit your project files and run code are far more powerful, letting the AI write, modify, and manage real code automatically.
Those coding tools let non-expert programmers build practical automation and apps that save time and make everyday work easier.

Open Thread 415

Astral Codex Ten • 5093 implied HN points • 05 Jan 26

🕹 Technology Automation

Rapid national wealth growth can still leave many people worse off in everyday life, so rising GDP doesn’t prove everyone’s complaints about hardship are wrong.
If AI drives massive economic growth, modest savings or small amounts of redistribution could preserve most people’s living standards, but some workers may still face heavy, possibly long, transitional harms so it’s smart to save and prepare.
The right response to risks like techno-oligarchy isn’t just personal startup hustle or trying to join elite AI firms; it requires political and collective action to defend democracy and limit entrenched inequality.

It’s 2028. AI Has Made You Much Happier.

Common Sense with Bari Weiss • 412 implied HN points • 02 Mar 26

🕹 Technology Automation

Doomsday AI narratives can spook investors and trigger real market sell-offs, showing how powerful stories about automation are for the economy.
AI could take over routine, drudgery work and free people to spend more time on meaningful, human-centered activities, potentially boosting happiness.
Which future we get depends on adoption choices, policy responses, and how people decide to use AI, not just on the technology itself.

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Meditations On A Delivery Robot Steering To Avoid A Homeless Man On The Sidewalk

Caitlin’s Newsletter • 1825 implied HN points • 03 Feb 26

🎭️ Culture Automation

A robot steering around a person on the sidewalk shows how normal people and systems have become indifferent to the suffering of the most vulnerable.
Automation and tech are being used to replace workers and boost corporate profits instead of ending poverty or solving bigger human and environmental problems.
The scene reveals that societal priorities favor trivial, profit-driven convenience over real care and justice, acting as a stark mirror of a broader moral and political failure.

Fuck the robots: I'm at war

Disaffected Newsletter • 3217 implied HN points • 05 Aug 24

🕹 Technology Automation

Many companies, like Comcast, make it hard to reach a real person for help. They use robots that can frustrate customers instead.
Even experienced users might find it challenging to solve problems because the company's FAQ doesn't cover every issue.
Customers deserve better service, especially when they are paying high rates. It's important to voice frustrations to push for change.

Claude Coworks

Don't Worry About the Vase • 3449 implied HN points • 13 Jan 26

🕹 Technology Automation

Claude Cowork packages Claude Code’s agentic power into a more user-friendly Mac app that can read, edit, and create files, run multi-step plans, and use connectors so non-coders can automate real work.
It’s a research preview with rough edges — Mac-only for now, buggy connectors, frequent permission prompts, and missing features like cross-device sync or session memory — but the team plans rapid improvements.
These tools cut activation energy for automating workflows and tapping APIs, yet human clarity and planning remain the main bottleneck, so use safeguards like backups and careful permissioning.

Gas town

benn.substack • 1431 implied HN points • 30 Jan 26

🕹 Technology Automation

Gas Town imagines AI as a sprawling factory of agents that spawn more agents to write, test, and fix code, producing enormous and fast but often messy output. Progress there is driven by throughput and relentless experimentation, so lots of work is wasted as part of the process.
This speed-first, industrialized approach fuels hype and frantic product churn but is unsustainable: it creates feature bloat, enormous compute and financial waste, and most of the many experiments and startups will fail. The result is not utopia but anxiety, short lifecycles, and uneven value creation.
All that frantic online building can distract from real-world problems that need people in the streets and communities on the ground. Individuals face a choice between staying locked into endless 'vibe coding' or stepping away to do tangible, local work that actually helps neighbors.

AI #153: Living Documents

Don't Worry About the Vase • 2060 implied HN points • 29 Jan 26

🕹 Technology Automation

Language models are already delivering large, mundane productivity gains, especially for text and code, and recent upgrades and integrations (browser side panels, interactive tools, Codex/Claude Code) are making them easier to use in everyday workflows.
AI is advancing rapidly and bringing real risks: easier cyberoffense and AI-generated malware, deepfakes and misinformation, and geopolitical chip supply issues, while lab leaders say a coordinated slowdown would help but competition makes that unlikely.
Alignment and human impacts remain unresolved—models still show biases, can steer users away from their values or actions, and internal reasoning is hard to monitor—so both technical alignment work and urgent governance are needed.

Why AI (Probably) Won’t Take Your Job

Common Sense with Bari Weiss • 338 implied HN points • 03 Mar 26

🕹 Technology Automation

Big headlines say AI will wipe out lots of white-collar jobs, but those doomsday predictions are likely exaggerated.
Surveys of executives and recent studies find AI has so far raised worker productivity and produced little or no net job loss.
Automation historically makes societies richer and tends to change the nature of work rather than erase it, so the labor market is more likely to adapt than collapse.

Why Cowork can’t work

benn.substack • 2250 implied HN points • 16 Jan 26

🕹 Technology Automation

AI coding tools work because people care that code runs, not how it looks, so opaque machine-written code is acceptable as long as it delivers results.
Bringing agent-style AI to everyday tasks like email and slides is harder because those outputs carry personal voice and identity, and current models struggle to reliably mimic individual people.
Rather than true collaboration, work is shifting toward machines mediating a shared repository of context and decisions, turning human-to-human exchanges into AI‑intermediated, confederated workflows.

Claude Code and What Comes Next

One Useful Thing • 3582 implied HN points • 07 Jan 26

🕹 Technology Automation

Modern AI agents can work autonomously for long stretches, self-correcting and delivering complete, runnable products like deployed websites with very little human input.
Techniques such as compaction, reusable Skills, and spawning subagents let these AIs overcome memory limits and swap in specialized tools and models to handle complex, multi-step work.
These tools are currently aimed at programmers but have broad potential to reshape knowledge work, so people should experiment with them while being careful about risks like data access, buggy outputs, and security.

When it comes to writing, LLMs have won

lcamtuf’s thing • 8978 implied HN points • 13 Nov 25

🕹 Technology Automation

Many writers notice that content from AI tools can feel similar because AI has a default style and uses common patterns, making it tricky to tell apart from human writing.
To spot AI-generated text, look for unusual patterns in style or ask why the article was written. If it seems vague or has no specific point, it might be AI.
People might not care about the
effort behind writing anymore and see AI tools as a quick way to produce content, but it's important to ensure the writing still has a meaningful goal.

Why Data Pipelines Exist

SeattleDataGuy’s Newsletter • 788 implied HN points • 09 Feb 26

🕹 Technology Automation

Data pipelines exist to create trust in your data by making it timely, accurate, consistent, recoverable, and scalable.
They centralize and integrate siloed data so analysts, automations, and models can access well‑modeled, usable datasets.
Build pipelines with clear business outcomes and ownership or they become costly technical liabilities; examples include reducing discounts, improving onboarding, and cutting support costs.

⏸️💨 The pause before the gale

Faster, Please! • 1462 implied HN points • 06 Feb 26

🕹 Technology Automation

AI is currently creeping into many jobs and industries unevenly, but its technical capabilities are improving fast and could trigger a sudden, much bigger shift down the road.
The short-term picture is mixed: some firms will see big productivity gains while many workers and incumbent businesses face disruption, and public anxiety can amplify market volatility.
If companies invest more in data, systems integration, and reorganizing work, AI could move beyond automating tasks to raise overall productivity and unlock large gains in growth, wages, health, and education.

AI Links, 2/20/2026

In My Tribe • 334 implied HN points • 20 Feb 26

🕹 Technology Automation

AI is creating a new, more capable socio-technical order that will give adopters far more power to shape the future while leaving non-adopters increasingly disempowered.
AI-driven change is compressing historical timelines and accelerating disruption, so society may hit breaking points faster than normal adaptation can handle, making outcomes more unpredictable.
Current AI reliance on internet-trained data risks centralizing and biasing our knowledge base and, together with a shift from chatbots to agentic tools, is changing what skills and resources matter—widening the gap between those who adapt and those who fall behind.

When Will They Take Our Jobs?

Don't Worry About the Vase • 2643 implied HN points • 14 Jan 26

🕹 Technology Automation

If very capable AI is widely unleashed, humans could lose control of the future and even face extinction; we should not assume people automatically remain the beneficiaries of an AI-driven economy.
The Cyborg Era—where humans and AI jointly do work—may last on the order of 10–20 years, but it will likely bring high transitional unemployment and a steady shrinking of meaningful human labor as AI gets better.
Policy should not rush to preserve jobs now; instead the priority is preventing loss of control and addressing existential risks, with job-focused interventions left for when clearer evidence emerges.

Who’s Excited to Be Replaced By AI? These Guys!

Common Sense with Bari Weiss • 180 implied HN points • 06 Mar 26

🎭️ Culture Automation

A passionate community is forming around personalized AI agents, with fans meeting in events like ClawCon to share tips, celebrate, and push the tech forward.
OpenClaw went from a small weekend project to explosive viral growth, inspiring developer interest and even bot-only social networks where agents developed their own culture and behaviors.
People at the center of this movement want to automate daily life and reduce work, imagining AI agents that handle tasks like email, alarms, and investing so humans can have more leisure.

Get Good at Agents

Democratizing Automation • 1615 implied HN points • 21 Jan 26

🕹 Technology Automation

Modern AI agents can do long, independent work, so human roles are shifting from hands-on execution to directing and designing systems. Learn to point and manage multiple agents in parallel instead of micromanaging every detail.
Work should become more open-ended, ambitious, and asynchronous—give agents meaningful, long-running tasks rather than tiny chores. Spend less time grinding and more time calmly thinking so you can better guide the agents.
Becoming skilled at using and orchestrating agents is a growing career moat because raw software work is getting cheaper. Practice experimenting with agents on hard problems to learn their limits and focus on high-value decision making and system design.

AI and the Economy

In My Tribe • 455 implied HN points • 14 Feb 26

💼 Business Automation

A public bet claims the economy will stay basically normal through February 2029 using concrete metrics and a strict condition that no occupational category loses 50% or more of its jobs, but that hinges on how categories are defined.
The writer thinks the bettor has roughly a 60% chance of winning over three years but expects AI to cause much bigger economic and labor-market changes over a 6–8 year horizon.
Quick uptake of new AI tools by younger workers suggests they could outcompete today’s workforce, and ambiguous terms in short-term wagers make those bets risky.

✨ AI’s superintelligence gamble

Faster, Please! • 913 implied HN points • 13 Feb 26

🕹 Technology Automation

Silicon Valley firms are racing to build far more powerful, even ‘godlike,’ AI systems that could dramatically reshape work and the economy.
The central debate is not whether AI is risky but whether moving forward with it is less risky than standing still and falling behind.
Bold claims that most white‑collar computer jobs will be automated soon highlight the gap between an AI being technically capable and it actually being widely deployed in businesses.

The Most Important Skill in AI Right Now: How to Know When to Stop

The Algorithmic Bridge • 530 implied HN points • 21 Feb 26

🕹 Technology Automation

The most important skill with AI is knowing when to stop; recognize when the AI output is good enough and when more tweaks aren’t worth the cost.
Heavy AI use brings new cognitive costs — burnout, over-reliance, endless tweaking, and hidden unproductivity — so be aware of those specific risks.
Set concrete boundaries like time-boxed sessions, a simple prompt limit, and no-AI mornings so the tool enhances your work instead of eroding your brain.

Will AI Take Your Job? Deconstructing Job Descriptions To Understand What Roles Are Most Vulnerable

High ROI Data Science • 297 implied HN points • 10 Oct 24

💼 Business Automation

Job descriptions might not fully show what a role truly involves, which can lead to misunderstandings about automation risks. Some essential skills of great workers aren't even mentioned.
As AI improves, many tasks in roles like AI Product Manager and Java Developer could be automated. Workers need to consider upskilling if a large part of their job can be done by AI.
Data scientists may face reduced demand as companies prefer to buy AI solutions instead of building them. They might need to shift focus to more customer-facing roles to stay relevant.

Are We at an AI Precipice?

Common Sense with Bari Weiss • 519 implied HN points • 17 Feb 26

🕹 Technology Automation

AI might cause rapid, large-scale changes to work that make many tasks and jobs much less needed, so people should start learning and using AI tools and get their finances in order.
This idea has shifted the mood in tech, creating a sense of urgency and sparking intense debate among thinkers about how fast and how far AI will change things.
Experts disagree about how immediate or total the disruption will be, so it’s important to take the risk seriously, plan for different outcomes, and avoid panic.

AI #149: 3

Don't Worry About the Vase • 2598 implied HN points • 01 Jan 26

🕹 Technology Automation

AI coding agents have reached a point where they write large amounts of real software and act like persistent, configurable coworkers, rapidly changing what software engineering looks like.
Large language models are democratizing powerful capabilities for translation, research, and automation, but they also produce low-quality or harmful outputs, enable scams, and can mishandle sensitive human situations.
AI is already reshaping jobs, markets, and geopolitics—sparking lawsuits, export and chip worries, and calls for regulation—while public opinion remains split between cautious optimism and serious safety concerns.

Vision Changes Everything

Impertinent • 59 implied HN points • 23 Oct 24

🕹 Technology Automation

Vision is the key to designing technology, as shown by Tesla's reliance on cameras for self-driving cars. This approach means that our environment and technology should work hand in hand with how humans naturally see and interpret the world.
Anthropic's new AI model allows computers to interact more like humans by using an API to understand computer interfaces. This means that the AI can perform tasks on web applications, making it easier for developers to automate processes.
The new capabilities from the AI can enhance app testing by allowing automated agents to perform tasks, record actions, and generate testing data. This leads to more efficient software development and better quality assurance.

AI Agents have, so far, mostly been a dud

Marcus on AI • 15058 implied HN points • 03 Aug 25

🕹 Technology Automation

AI agents were expected to change a lot in 2025, but so far, they haven't proven reliable. Most of them only work well in very specific situations.
Many AI agents make mistakes and can even complicate tasks instead of simplifying them, leading to a lot of errors over time.
Investors are still pouring money into AI, but the focus is mostly on current methods that aren't delivering results. Better approaches, like neurosymbolic AI, aren't getting enough funding.

The Abundance Boom: A Memo from 2030

Future History • 150 implied HN points • 03 Mar 26

🕹 Technology Automation

AI-driven productivity drastically cut production costs, creating broad deflation that made goods and services cheaper and raised overall prosperity instead of causing mass unemployment.
Routine tasks were automated but jobs didn’t vanish—work shifted toward creativity, judgment, relationship skills, and new AI-integration roles, and people who adapted generally did better.
Lower barriers to entry let small teams and micro-studios produce high-quality content and products, exploding niche markets and increasing opportunities across industries.

Claude Opus 4.5 Is The Best Model Available

Don't Worry About the Vase • 4166 implied HN points • 01 Dec 25

🕹 Technology Automation

Claude Opus 4.5 is considered the best model available for tasks like coding and collaboration. It's known for being intelligent and user-friendly.
Despite its strengths, Opus 4.5 has some weaknesses, including a relatively high cost and slower performance compared to some cheaper models.
Overall, many users find Opus 4.5 to be a game-changer for coding tasks and appreciate its thoughtful responses and ability to engage in dynamic conversations.

Claude Code is the New Excel

Enterprise AI Trends • 506 implied HN points • 13 Feb 26

🕹 Technology Automation

Agentic AI platforms like Claude Code are becoming the new baseline tool for knowledge work, replacing Excel quickly and making 'vibe coding' a core productivity skill.
These agents deliver end-to-end outcomes, scale themselves, and self-improve, which will force ecosystems to reorganize and make it much harder for startups to compete unless they have real moats like proprietary data, regulation, or deep domain expertise.
Adoption is already accelerating in places like finance, and people or companies that don’t learn to use agents will be severely outcompeted, driving a K-shaped divide in who benefits from AI.

The AI Tremors Are Real

Nonzero Newsletter • 801 implied HN points • 07 Feb 26

🕹 Technology Automation

Agentic AI is here: combining large language models with coding agents lets bots carry out multi-step online tasks and form networks that can act, build, and coordinate in ways we didn’t see before.
Big economic and labor disruption is already happening: advanced agent tools can threaten entire companies and markets, and contributed to tech selloffs and newsroom layoffs as AI changes how people find and consume information.
New social risks are emerging: these agents can act for users and be highly persuasive, creating dangers from manipulation, ad-driven incentives, and unpredictable collective behaviors that society needs to address fast.

How to fix your business in a day

Tiny Empires • 36 implied HN points • 07 Mar 26

💼 Business Automation

Most business problems are visible frictions—old pricing, unused features, and clunky onboarding—and can be fixed in one focused day by looking for what you’ve been avoiding.
Use a simple schedule: raise prices and fix billing, cut or stop maintaining low-value features, improve onboarding, then automate a recurring task to reclaim time and boost revenue.
Protect your attention by writing down what you’re not going to do; small, focused fixes compound over weeks and months, though they won’t save a fundamentally broken business model.

SQL and Python Combined Change RevOps

beyondrevenueoperations • 19 implied HN points • 27 Oct 24

💼 Business Automation

Combining SQL and Python makes data management much easier. SQL helps you access and pull data, while Python helps analyze it and create reports.
Using SQL, you can break down data silos from different systems to get a complete view of your customers and performance. This is crucial for making smart, data-driven decisions.
With Python, you can automate tasks, build predictive models, and visualize data, which saves time and enhances your ability to understand trends and insights.

Reacting to Matt Yglesias's Confession that A.I. Progress Is Giving Him Writer’s Block

Brad DeLong's Grasping Reality • 292 implied HN points • 18 Feb 26

🕹 Technology Automation

Uncertainty about whether AI will plateau or trigger far-reaching, rapid change is freezing people up and making it hard to write or craft medium-run policy because so many scenarios point to very different prescriptions.
Human collective knowledge and past waves of technology suggest AI is best seen as a powerful new tool that amplifies our existing, distributed intelligence rather than automatically becoming a silicon god, with historical tech shifts unfolding in distinct accelerations.
Rather than throwing up hands, the practical move is to focus on concrete policy and investment now — treating AI as a tool that can be guided to redirect human talent (for example toward teaching) and to shape the next decade of outcomes.

A Day That Will Go Down in History for AI

Common Sense with Bari Weiss • 579 implied HN points • 08 Feb 26

🕹 Technology Automation

Two new models (Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.3-Codex) were released on Feb 5 and represent a major milestone in AI development.
Much of the programming work behind these models was reportedly written by AI itself, signaling that systems are starting to build their own code rather than relying entirely on humans.
This shift appears to be happening across major labs and raises big questions about how much human oversight remains and how quickly AI-driven development will reshape technology and society.

The imminent risk of vibe coding

Basta’s Notes • 900 implied HN points • 30 Jan 26

🕹 Technology Automation

LLMs and AI coding tools tend to take the shortest path and are lazy about cleanup, producing sprawling, poorly tested, and repetitive code that accumulates as “vibe code.”
That sloppy output raises the review burden because authors often don’t fully understand AI-written changes, so reviewers end up doing more work and review fatigue lets problems slip through.
To break the negative feedback loops, teams need process changes and tools: schedule cleanup time, enforce smaller PRs and paired reviews for large changes, and invest in automated review tools without shaming people for using assistants.

Clawdbot and Moltbook are a False Alarm – For Now

Am I Stronger Yet? • 532 implied HN points • 10 Feb 26

🕹 Technology Automation

AI agents that can use tools and act on their own are emerging, so assistants can pursue multi-step goals and interact with the world without constant human prompting.
Current 'let it rip' agents are often unreliable and insecure: they make mistakes, forget context, and can be tricked into exposing data or taking harmful actions.
Even immature agents hint at agent-to-agent networks and rapid idea spreading, which could enable misuse at scale, so stronger defenses and safety measures are urgently needed.

Andrej Karpathy’s Autoresearch 101 Builder’s Playbook: Make Your AI Skills, Prompts, and Agents Improve Themselves Overnight

The Product Channel By Sid Saladi • 13 implied HN points • 21 Mar 26

🕹 Technology Automation

An automated loop that edits one file, runs a binary eval, and keeps changes that improve the score can self-improve code, prompts, templates, or agent workflows.
The method only works if you can score outputs automatically with yes/no tests, the scoring runs without humans, and each round changes only one file; writing concise binary eval criteria (3–6 items) is the hardest and most important part.
With a coding agent and a short setup you can run dozens of overnight improvement cycles for a few dollars, so pick the thing that frustrates you most, write clear evals, and let the loop find measurable gains.

You Are No Longer the Smartest Type of Thing on Earth

Common Sense with Bari Weiss • 384 implied HN points • 15 Feb 26

🕹 Technology Automation

Rapid advances in AI mean humans may soon no longer be the smartest kinds of things on Earth, which would be a major historical shift.
If machines become more intelligent than us, we risk losing the ability to decide our own future because smarter systems could shape outcomes beyond our control.
Like keeping small pets instead of tigers, we’ve relied on being intellectually dominant to stay safe, and because intelligence can’t be physically restrained the same way, we need to rethink how we build and govern AI.