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The New Stack | DevOps, Open Source, and Cloud Native News

Agentic development hinges on verification. For cloud-native software, that is a runtime problem. AI agents need infrastructure: Why Europe’s regional cloud strategy matters Transform your AI coding agent into a deterministic Java Spring expert WeAreDevelopers is coming to the US to give unsung developers a bigger voice Cleaner AI training data, fewer bugs: Sonar’s SonarSweep explained Observability overload is drowning engineers Google’s DiffusionGemma is 4x faster than its other Gemma models Fable 5: Guardrails and burn rate are annoying users, who say it’s still better than Opus 4.8 The Anthropic leader who built Claude Code says he ditched prompting — now he just writes loops. AWS can now mathematically prove your VMs are isolated Microsoft pulled 73 GitHub repos after malware attack — but still won’t say who’s compromised Databricks wants to kill the “email me a file” problem for AI agent skills Ramp bets forward deployed engineers can do what off-the-shelf finance AI can’t Git real: AI agents aren’t just for solo developers anymore Anthropic launches Claude Mythos/Fable 5, but you better try it soon This AI agent startup ditched Anthropic for DeepSeek — and says it’s saving millions When your data model is the bottleneck: lessons from Medium’s feature store How long before we stop reading the code? The tokenmaxxing party is over, and Revenium is mopping up How AI is solving the memory crunch it created Microsoft’s pitch to enterprises: Ditch Azure Repos for GitHub, despite its rocky reliability record Claude Code’s biggest upgrade yet ran 5 agents at once — here’s what happened Why Anthropic just doubled Claude Cowork limits at no charge For years, Apache Cassandra handed this work to your team — 6.0 takes it back “A dangerous combination”: The 2 factors that can “corrupt” AI agent workflows With Foundry, Microsoft bets the enterprise AI battle is about reliability, not capability Microsoft unlocks Visual Studio for developers left behind by its own AI AI teams now deploy 1,000 times a month. Your pipeline wasn’t built for that. Microsoft just made the agent runtime free — and kept everything around it “Whoever builds the most joyous product wins”: The agent war begins Netlify CTO Dana Lawson: Writing code is no longer the job From Jupyter Notebook to production: How to ship AI systems that actually work OpenClaw used Gavriel Cohen’s code and exposed the AI Agent accountability problem Replit shows how vibe coding is getting its own financial stack — and a path to profit Cloudflare aqui-hires VoidZero: Did a piece of the open web just stabilize, or become more brittle? Cursor cuts prices and adds enterprise spend controls amid “tokenomics” reckoning Google Gemma 4 12B nearly matches 26B benchmarks — and runs on your laptop Snowflake thinks it knows what’s really slowing developers down Autonomous agents have met their biggest challenge yet: The database. Why agentic AI makes the ops platform the most important layer in the enterprise How to dramatically improve enterprise security alert tuning to battle cyberattacks Why the need for humans won’t disappear in the age of autonomous databases How to secure Kubernetes in the age of AI workloads Asana says its new AI “chief of staff” turns your Slack chaos into trackable work Nvidia’s best model is now live Mate Security’s Asaf Wiener made every backend engineer a model router. He’s right to. 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The governance infrastructure is still catching up. The agentic identity crisis: Why your security isn’t ready for the AI revolution Debugging the undebuggable: building observability into probabilistic AI systems Snowflake commits $6B to AWS as it pushes deeper into AI Why MotherDuck refuses to fork DuckDB Researcher “gave Claude Code ‘ADHD’… and it thinks 2x better now.” Outside experts want more proof. “There is no accountability”: AI coding agents are installing packages no one owns “Tokenmaxxing is real, expensive & it’s spreading”: AI budgets are exploding With Google’s debut, the most important AI agent feature is now the most boring one Why AI agents need a Context Lake Google ranks the best AI for building Android apps, and the winner isn’t Gemini Google pushes Pro, Ultra, and free users from open-source Gemini CLI to closed-source Antigravity CLI The reason enterprise outages almost never start where ops teams think Taming the agentic influx: a blueprint for AI business observability How the AC/DC framework helps teams govern AI coding agents GitLab 19.0 trades its string section for a full DevSecOps orchestra Who’s monitoring the agents? How Jaeger hit 8.6× compression on 10 million spans with ClickHouse What ClickHouse learned from a year of coding with AI agents OpenClaw passed 300,000 GitHub stars. Then Google launched Spark.
SpaceX acquires Cursor for $60 billion. Can it fix Musk’s coding division?
Meredith Shubel · 2026-06-17 · via The New Stack | DevOps, Open Source, and Cloud Native News

Today it was announced SpaceX will buy Anysphere, Inc., maker of AI coding agent Cursor, for $60 billion. 

The news comes a few days after SpaceX’s historic IPO listing, with the rocket and AI company stating in its SEC filing that the Cursor deal will likely close in Q3 2026. 

Developers can now wonder how the AI coding agent might change under the Musk umbrella.

April partnership brings June ownership

SpaceX and Cursor have been flirting about a potential acquisition for a couple of months now. 

Back in April, the pair inked a unique partnership, where Elon Musk’s company agreed to either pay $10 billion to the then-independent startup in a model-training collaboration or opt to buy the whole company later on for $60 billion. 

That day has now come. 

At the time, Cursor described its partnership with SpaceX as a way to accelerate its model training efforts, stating in a brief announcement blog post that Musk’s company would enable the startup to scale up intelligence via xAI’s Colossus infrastructure. 

For its part, SpaceX posted on X back in April that working with Cursor would allow it “to build the world’s most useful models.” 

SpaceX sets its sights on AI coding

It seems SpaceX has been eyeing Cursor’s talent for quite some time.

Even before the April partnership, back in March, Reuters reported that xAI had hired two engineers from Cursor. In fact, Peter Swimm, former principal product manager — Microsoft Copilot Studio, Microsoft, tells The New Stack he expects it’s largely engineering and AI talent that SpaceX hopes to gain from the new acquisition: 

What remains genuinely scarce is elite AI engineering talent and the teams that know how to build these systems at scale.

“The more interesting lens is to view it as an acqui-hire and talent consolidation play. The AI coding assistant market is crowded, features are converging rapidly, and long-term differentiation is proving difficult. What remains genuinely scarce is elite AI engineering talent and the teams that know how to build these systems at scale.” 

SpaceX may very well need that talent. As The New Stack wrote back in April, “SpaceX’s xAI has not had a coding hit since its grok-code-fast-1 model had its time in the sun.”

Though SpaceX’s recent IPO puts its valuation at an eye-watering $2+ trillion, its coding division has not been performing up to par, as Reuters reported in March when several aXI founders left the company. Cursor, meanwhile, rocketed to a $29.3 billion valuation at the end of 2025, scooping up $2.3 billion in Series D funding.

By bringing Cursor into its fold, SpaceX is likely hoping to score more engineering talent and level up its AI coding. 

What does it mean for developers? 

Swimm tells The New Stack he thinks Cursor users can expect better performance from the coding agent, assuming access to SpaceX’s deep resources.

What he says remains to be seen is whether the tool will “maintai[n] broad model support and ecosystem neutrality” or face sweeping changes à la Twitter when Musk morphed the social media company into X:

“For Cursor users, the question isn’t whether the product gets better. With significantly more resources behind it, it probably will. The question is whether it remains an independent platform optimized for developers or becomes another component in a larger corporate strategy.” 

Whoever owns the interface where developers spend eight hours a day gains visibility into how software gets built, which models get adopted, and ultimately where AI spending flows.

If that’s the case, he also predicts procurement evaluations will change, as enterprises may now assess the coding agent as one piece of Mr. Musk’s growing AI puzzle rather than an independent vendor. 

Bigger picture, Swimm says the SpaceX acquisition highlights where real strategic value likely now sits. He doesn’t see AI coding agents, themselves, as the gamechanger but the access they provide into developer workflows: 

“What it [the acquisition] does suggest is that access to developer workflows is becoming strategically valuable. Whoever owns the interface where developers spend eight hours a day gains visibility into how software gets built, which models get adopted, and ultimately where AI spending flows.” 

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