I genuinely love my Tesla Model Y and what Tesla has built as a product.
Which makes my recent service experience even more disappointing.
I bought a Certified Used Model Y directly from Tesla Germany. When the car reached me in Bulgaria, several items were missing:
- the detachable tow hitch ball
- the original Type 2 charging cable
- the rear trunk parcel shelf / cargo cover
- the Tesla Mobile Connector
I reported the missing equipment to Tesla the very next day.
Tesla later clarified that the Mobile Connector was not included with the vehicle, and they could not confirm that the parcel shelf should have been included. Fair enough, I’m completely OK with that.
But Tesla also confirmed in writing that according to their documentation, my car was supposed to come with the Tow Hitch and the Type 2 charging cable.
Then things got strange.
- Tesla Greece told me to contact Germany.
- Tesla Germany confirmed the missing equipment.
- They offered to provide the Type 2 cable and detachable tow ball free of charge.
- They arranged for both to be sent to Tesla Thessaloniki.
- They even told me when the parts should arrive.
- Then the decision was suddenly revoked because another Tesla location refused to cover the cost.
All of this over two items that Tesla’s own records say should have been delivered with the car.
I still love the car. I genuinely enjoy owning and driving it.
But it’s disappointing to see such a great product paired with a service process where different Tesla locations can pass responsibility between each other, and even reverse an already confirmed solution.
I hope @Tesla can help get this resolved properly.
@elonmusk
Every vibe coder should probably install this GitHub project.
If you use Claude Code, Codex, Cursor, Gemini, Copilot, etc. - ctx-wire feels like a no-brainer.
The problem is simple:
AI coding agents run tons of noisy commands:
git, sed, tr, grep, cat, npm, go, cargo, etc.
And then they happily dump all that output back into the context window.
Result?
Your session fills up faster.
You burn more tokens.
You compact more often.
And the agent starts carrying around a lot of useless noise instead of useful context.
ctx-wire sits between the agent and the command output.
It runs the command, filters/compresses the noisy output, scrubs secrets, and gives the agent a much shorter, cleaner result, while keeping the full scrubbed log locally if something actually fails.
Why I like it:
- Less token waste
- Cleaner agent context
- Fewer forced compacts
- Better signal-to-noise during long coding sessions
- Open source, free, installs in a few lines
This is one of those tiny infra/devtools things that feels boring… Until you realize it directly improves the way your AI coding agent thinks.
Repo: github.com/pivanov/ctx-wire
Install: ctx-wire.dev
Cut the noise. Keep the context.
Every vibe coder should probably install this GitHub project.
If you use Claude Code, Codex, Cursor, Gemini, Copilot, etc. - ctx-wire feels like a no-brainer.
The problem is simple:
AI coding agents run tons of noisy commands:
git, sed, tr, grep, cat, npm, go, cargo, etc.
And then they happily dump all that output back into the context window.
Result?
Your session fills up faster.
You burn more tokens.
You compact more often.
And the agent starts carrying around a lot of useless noise instead of useful context.
ctx-wire sits between the agent and the command output.
It runs the command, filters/compresses the noisy output, scrubs secrets, and gives the agent a much shorter, cleaner result, while keeping the full scrubbed log locally if something actually fails.
Why I like it:
- Less token waste
- Cleaner agent context
- Fewer forced compacts
- Better signal-to-noise during long coding sessions
- Open source, free, installs in a few lines
This is one of those tiny infra/devtools things that feels boring… Until you realize it directly improves the way your AI coding agent thinks.
Repo: github.com/pivanov/ctx-wire
Install: ctx-wire.dev/
Cut the noise. Keep the context.
Well done @ivanovpavel
SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI.
The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will allow us to build the world’s most useful models.
Cursor has also given SpaceX the right to acquire Cursor later this year for $60 billion or pay $10 billion for our work together.
Marian Ignev 🤙 retweeted
📊 How much does content production really cost in 2026?
Our new research breaks down the full picture - from internal time investment to external spend - so teams can accurately budget, forecast ROI, & make smarter content decisions.
See more ➡️ contentship.io/research/cont…
Marian Ignev 🤙 retweeted
The weekend build is the prototype.
Production is the other 47,000 lines.
Auth edge cases. Schema rewrites. Backups. Realtime. Observability.
That is where apps survive or die.
Plan the rebuild phase.
Read the breakdown 👉 sashido.io/en/blog/creating-…
Marian Ignev 🤙 retweeted
Most apps don’t lose users because of value. They lose them in the first quiet hour.
Fix onboarding with behavior triggers:
One push. One action.
Stop after activation.
SashiDo’s team breaks it down.
Read the playbook 👉 sashido.io/en/blog/applicati…
Marian Ignev 🤙 retweeted
🚀 Real outcomes, not projections.
Our customers see 3× organic click growth & 4.4× more search impressions in just 3 months, based on verified Google Search Console data.
Average rankings improve too, with first signals in ~6 weeks 📈
Learn more ➡️ contentship.io/results
Push is a retention lever. Not a loudspeaker.
If every team can send, users will mute.
- Segment by intent.
- Cap frequency globally.
- Deep link to the exact moment.
That’s how push drives trust, not opt outs.
Read the full playbook 👉 sashido.io/en/blog/push-noti…
Marian Ignev 🤙 retweeted
After a month of abusing this internally, I realized it’s worth sharing "split-tasks"
⚡ Parallel agents for independent tasks
🧠 Same prompt, less waiting
🔗 skills.sh/pivanov/ai-skills/…
Marian Ignev 🤙 retweeted
AI writing assistants don’t fail on prompts.
They fail when teams skip structure.
The real edge is clear briefs, review loops, and human judgment at the end. AI supports decisions. It doesn’t replace them.
Read the playbook 👉 contentship.io/blog/seo-writ…
Marian Ignev 🤙 retweeted
Most MVPs stall not on frontend speed, but on backend setup.
Auth, CRUD, storage, realtime, jobs.
Founders want time to learn, not run infra.
In 2026, BaaS wins when speed beats purity.
Read the breakdown 👉
sashido.io/en/blog/startup-m…
Marian Ignev 🤙 retweeted
React apps rarely break in the UI.
They break when the backend does not fit the team or traffic.
Read before you scale 👉 sashido.io/en/blog/backend-f…
I asked @Claude Code to build me a @cursor_ai alternative.
It built it in #Vim. Free. Open source. Runs over SSH.
github.com/mignev/vimsor
🎉🎉🎉
Contentship just got approved in the @framer marketplace! 🎉
We welcome all the designers, developers, and content teams building beautiful sites with Framer.
Let's build something amazing together! 💙
Hello guys, I’m starting a new product.
@contentshipio is about how content actually wins in 2026, not just by shipping more pages, but by proof, demand, and trust across Google and LLMs.
If you care about SEO beyond hacks, follow along 👇
Hello, guys, we are getting started!
Follow us for SEO Hacks for Google and LLMs.
SEO in 2026 is not about shipping more pages. It is about proof, branded demand, and CTR. Human experience beats generic AI every time.
Read the playbook 👉 contentship.io/blog/seo-opti…
Marian Ignev 🤙 retweeted
Claude Code is powerful and risky.
Agentic AI needs loops and guardrails.
Plan. Change. Check. Revert.
Read this 👉 sashido.io/en/blog/ai-code-t…














