Anthropic has 454 open roles. The company is hiring software engineers at $320K-$405K. Their CEO, Dario, said three months ago that coding is "going away first, then all of software engineering."
The paradox resolves instantly.
Dario's engineers told him they don't write code anymore. They let Claude write it. They edit. They review. They architect. They didn't lose their jobs. They got faster. Anthropic grew from a small research lab to 1,500 employees in four years, adding engineers the entire time.
This has played out five times in computing history. Compilers replaced assembly. Frameworks replaced boilerplate. Cloud replaced server management. Every prediction was the same: most programmers won't be needed. Every result was the same: the number of engineers grew.
The global software engineer pool went from roughly 5 million in 2010 to 28.7 million today. BLS projects 17% growth in US software developer roles through 2033, adding 304,000 positions. The pool is projected to hit 45 million by 2030.
When building software gets cheaper, more problems become worth solving with software. A startup that needed 10 engineers now needs 3. But 50 companies that couldn't afford to build at all now can. The denominator shrinks. The numerator explodes.
Meta's engineering headcount is up 19% from January 2022. Google's is up 16%. Apple, 13%. These companies adopted AI coding tools years ago. They're using Copilot and Claude Code daily. They're hiring more engineers than before those tools existed.
Every generation of "coding is dead" content creates two cohorts: engineers who freeze up, and engineers who build 10x more with the new tools. The second group has won every single time.
Speed used to be the signal. That's changing.
The top 3 skills that engineers need going forward:
💬 Proactive communication
💡 Business acumen
🧠 Curiosity & adaptability
All three are coachable.
Read more here - https://t.co/QqISvQKXJv
AI coding tools increased engineering throughput by 59% 🤖📈
(CircleCI State of Software Delivery 2026)
But main branch throughput dropped by 6.8% 📉
More code.
Fewer releases.
AI sped up code velocity, not release velocity.
Why this is happening 👇
https://t.co/0XoiwE2sJt
One person. All the hats. 🎩
Engineer. PM. Designer. EM. These roles won't look the same by 2027.
Here's what's actually changing — and what to do about it. I wrote about it here - https://t.co/9W3pBdEEbt
#EngineeringLeadership#EPD#ProductEngineering#EngineeringManager
Want AI coding tools to actually increase developer productivity? 🤖💻
AI multiplies the systems you already have in place.
I broke down 5 fundamentals with specific leadership actions to help you get there 👇
https://t.co/zWqQm9w9uK
#EngineeringLeadership#AI#DevTools
AI rollout reality 🤖
Pushback. Experimentation. Some early wins.
Usage dashboards ≠ impact 📊
Real signal: 📈 Adoption → ⚡ Velocity → 🛡️ Quality
I wrote about how to prove AI tooling is working for your team here: 🔗 https://t.co/zWqQm9w9uK
#ai#engineering
Most engineering dashboards either have too many metrics — or don’t exist at all.
So which ones actually help you catch trends early?
I wrote about the few signals every engineering leader should track:
🔗 https://t.co/VPt8IL7eTQ
#engineering#Leadership#teams#metrics
@Airbnb I reserved a stay in London and paid half. However, @airbnb charged the other half of my payment on the expired card on file instead of my new default card and canceled my reservation. Bad tech and yet not taking responsibility to refund full money
In the early days of Ockam we were developing a C library. This is the story of why, many months in, we decided to abandon tens of thousands of lines of C and rewrite in Rust.
#rustlang#rust#opensource#programming#startup
https://t.co/Ocu0szBfke
Software vendors, so far, were able to pass costs & liabilities of security to customers. As threats escalate & vulnerability surfaces become unmanageable, both customers & regulators have realized - this shift of burden is ineffective & too expensive.
https://t.co/9iYEjxtpSe
Looking for an easier way to manage access credentials for #InfluxDB Cloud?
💥 The new add-on for @Ockam Orchestrator is a drop-in solution that allows you to define standardized, time-limited credentials for each client.
Here's more ▶ https://t.co/eekLysNw6F #TimeSeries
Secure-by-design software is designed to steeply reduce risk.
Ockam makes end-to-end encryption simple & ejects vendors and infra, in the path of data flow, from the vulnerability surface of your app's data.
Docs https://t.co/WC89xvruAP
Github https://t.co/d9RszKhX1c
1/🧵 …
"We’re excited to announce the #InfluxDB add-on for Ockam Orchestrator. Through the use of the add-on, customers that are using InfluxDB Cloud can use Ockam to improve their security posture by automatically granting uniquely identifiable, least privilege, time-limited creds"
🔥 @Ockam launches Orchestrator, the first developer tool that can add end-to-end encryption between any application, allowing them to trust data-in-motion.
https://t.co/GvSer470oI
Ockam is one of the fastest growing #opensource#security projects.
Today we launched Orchestrator. It has the scale, security, and collaboration features that Enterprise's need....Including add-ons for @InfluxDB, @confluentinc and @okta.
Enjoy!
https://t.co/2hxVqo2UbC
Soooo close to 3000 stars on @Github. We're at 2987 - let's go, let's go, let's go.⭐️⭐️⭐️
https://t.co/pCXBSmxCIw
Huge thank you to everyone in the #OpenSource community who's taken time to contribute, participate, and cheer along as we build/grow @Ockam#DEVCommunity#Github