Been waiting for a while for better monitoring on MCPs. We make heavy use of hotshots - down for anything to get observability into Datadog cleanly.
593 karma · joined June 30, 2017
We’re building Graphite to help high-performing engineering teams run faster, cleaner code reviews. Our product is already used by some of the world’s best developers, and we’re just getting started! We're hiring experienced engineers across the stack, are are looking for people who:
-Care deeply about code quality, system design, and scaling software responsibly
-Have a strong product sense and enjoy collaborating closely with design & product teams
-Have experience with AI-driven workflows, prompt engineering, or interest in developer tooling is a plus
-Are product-driven and quality-obsessed; we ship thoughtfully and often
We've recently raised a $52m Series B by Accel, A16z, & others, and have big goals this year.
The hiring process: quick intro call, 2 technical interviews, & an onsite interview, followed by offer!
If you are someone who wants to work on meaningful problems, values clean code and thoughtful systems, & loves building tools for other engineers, we'd love to chat with you!
You can apply directly on our careers page(https://graphite.dev/careers#positions) or email sam@graphite.dev with the subject title: "Thank you for stacking with us) with a copy of your CV.
Recruiters: appreciate your hustle, but we’re only hiring through direct applications.
https://constelisvoss.com/pages/a-computer-can-never-be-held...
I'll (biasedly) throw in "Diamond" - https://diamond.graphite.dev/, and in general, AI code review tools as a whole category :)
--
I work on Graphite Reviewer (https://graphite.dev/features/reviewer). I'm also partly dyslexic. I lean massively on Grammarly (using it to write this comment) and type-safe compiled languages. When I engineered at Airbnb, I caused multiple site outages due to typos in my ruby code that I didn't see and wasn't able to execute before prod.
The ability for LLMs to proofread code is a godsend. We've tuned Graphite Reviewer to shut up about subjective stylistic comments and focus on real bugs, mistakes, and typos. Fascinatingly, it catches a minor mistake in ~1/5 PRs in prod at real companies (we've run it on a few million PRs now). Those issues it catches result in a pre-merge code change 75% of the time, about equal to what a human comment does.
AIs aren't perfect, but Im thrilled that they work as fancy code spell-checkers :)
We raised $20M from Andreessen Horowitz, the founder of GitHub, the founder of PagerDuty, and the creators of React. Our team is 20+ strong with prior experience at Meta, Google, Airbnb, Stripe, DoorDash, Square, and Datadog. We’ve caught strong revenue traction with thousands of customers, including Snowflake, Vercel, Datadog, Asana, Brex, Ramp, and Square. Our whole team is based in our NYC office.
We’re building the world’s best tool for developers to ship code faster and more efficiently, including features like stacked pull requests and AI-powered code review. I’m looking for kind, smart, and passionate folks who would be excited to build a tool that they and all their engineering friends get to use daily!
*What you’ll do:*
- Design and implement new features for our developer platform.
- Collaborate closely with users to understand their needs and improve workflows.
- Work with a small, talented team in a fast-paced environment.
- Contribute across the stack, from frontend to backend.
*What we’re looking for:*
- Strong software engineering experience.
- Passion for developer tools and improving developer productivity.
- Excellent communication and collaboration skills.
- Willingness to work full-time onsite in our Soho, NYC office.
Hopefully helpful, happy to test others for you :)
-- Raw output --
Understood. I will conduct a detailed technical analysis of next-generation particle collider projects, focusing on the Future Circular Collider (FCC), International Linear Collider (ILC), Compact Linear Collider (CLIC), Muon Collider proposals, and other significant initiatives.
The report will include: - Planned energy ranges and collision types - Estimated construction and operation timelines - Technical advantages and challenges - Approximate costs - Key physics goals - Review of technical design reports and feasibility studies - International collaboration and support - Comparative analysis on feasibility, cost-benefit, scientific potential, infrastructure needs, and environmental impact - Long-term considerations, including upgrade paths and integration with existing facilities
The analysis will be formatted as a structured technical summary, suitable for presentation at a topical meeting of particle physicists, with comparative tables and figures where relevant.
I will update you when the report is ready.
# Next-Generation Particle Collider Projects: A Comparative Technical Analysis
## Introduction High-energy physics is charting plans for new colliders to extend beyond the LHC and its High-Luminosity upgrade (HL-LHC). The discovery of the 125 GeV Higgs boson has motivated proposals for a dedicated “Higgs factory” lepton collider to study its properties with precision, as well as future energy-frontier machines to search for new physics. Several next-generation collider initiatives are under consideration internationally as of 2024. These include CERN’s proposed *Future Circular Collider (FCC)*, Japan’s *International Linear Collider (ILC)*, CERN’s *Compact Linear Collider (CLIC)*, various designs for a *Muon Collider*, China’s *Circular Electron-Positron Collider (CEPC)* and its successor *Super Proton-Proton Collider (SppC)*, among others. Each proposal differs in collision type (electron-positron, proton-proton, muon-muon, etc.), energy scale, technology, timeline, cost, and physics focus. This summary reviews each project’s key parameters – *planned energy ranges, collision types, timeline, technical advantages/challenges, cost, and physics goals* – based on technical design reports and feasibility studies. A comparative analysis then contrasts their *technical feasibility, cost-benefit, scientific potential for discoveries, timeline to first data, infrastructure needs, and environmental impact*, highlighting the relative strengths and weaknesses of each approach. We also discuss long-term implications such as upgrade paths, flexibility for future modifications, and integration with existing infrastructure.
(Citations refer to official reports and peer-reviewed sources using the format 【source†lines】.)
## Future Circular Collider (FCC) – CERN - *Type and Energy:* The FCC is a *proposed 100 km circular collider* at CERN that would be realized in stages. The first stage, *FCC-ee*, is an electron-positron ($e^+e^-$) collider with center-of-mass energy tunable from ~90 GeV up to 350–365 GeV, covering the Z boson pole, WW threshold, Higgs production (240 GeV), and top-quark pair threshold (~350 GeV). A second stage, *FCC-hh*, would use the same tunnel for a proton-proton collider at up to *100 TeV* center-of-mass energy (an order of magnitude above the LHC’s 14 TeV). Heavy-ion collisions (e.g. Pb–Pb) are also envisioned. An *FCC-eh* option (electron-hadron collisions) is considered by adding a high-energy electron injector to collide with the proton beam. This integrated FCC program thus spans both *precision lepton* collisions and *energy-frontier hadron* collisions.
- *Timeline:* The conceptual schedule foresees *FCC-ee construction in the 2030s* and a start of operations by around *2040* (as the LHC/HL-LHC program winds down). According to the FCC Conceptual Design Report, an $e^+e^-$ Higgs factory could begin delivering physics in ~2040, running for 15–20 years. The *hadron collider FCC-hh* would be constructed subsequently (using the same tunnel and upgraded infrastructure), aiming for *first proton-proton collisions in the late 2050s】. This staged approach (lepton collider first, hadron later) mirrors the successful *LEP–LHC sequence*, leveraging the $e^+e^-$ machine to produce great precision data (and to build infrastructure) before pushing to the highest energies with the hadron machine. ...
(Too long for HN to write more)
HN is a place for people to show and tell with positive intention and constructive feedback. I don't think OP is scoffing at all :)
> "Do You Even Want to Be 10x? You don’t have to. You’re not a lesser engineer if you operate at a steady clip, write clean code, and value stable processes. Seriously. Some workplaces thrive on consistent, methodical improvement—and a 10x renegade might actually hurt them."
We raised $20M from Andreessen Horowitz, the founder of GitHub, the founder of PagerDuty, and the creators of React. Our team is 20+ strong with prior experience at Meta, Google, Airbnb, Stripe, DoorDash, Square, and Datadog. We’ve caught strong revenue traction with thousands of customers, including Snowflake, Vercel, Datadog, Asana, Brex, Ramp, and Square. Our whole team is based in our NYC office.
We’re building the world’s best tool for developers to ship code faster and more efficiently, including features like stacked pull requests and AI-powered code review. I’m looking for kind, smart, and passionate folks who would be excited to build a tool that they and all their engineering friends get to use daily!
What you’ll do:
- Design and implement new features for our developer platform.
- Collaborate closely with users to understand their needs and improve workflows.
- Work with a small, talented team in a fast-paced environment.
- Contribute across the stack, from frontend to backend.
What we’re looking for:
- Strong software engineering experience.
- Passion for developer tools and improving developer productivity.
- Excellent communication and collaboration skills.
- Willingness to work full-time onsite in our Soho, NYC office.
If you’re interested, please apply through our careers page here: https://graphite.dev/careers
"""
LLMs need better criticism # A lot of people absolutely hate this stuff. In some of the spaces I hang out (Mastodon, Bluesky, Lobste.rs, even Hacker News on occasion) even suggesting that “LLMs are useful” can be enough to kick off a huge fight.
I like people who are skeptical of this stuff. The hype has been deafening for more than two years now, and there are enormous quantities of snake oil and misinformation out there. A lot of very bad decisions are being made based on that hype. Being critical is a virtue.
If we want people with decision-making authority to make good decisions about how to apply these tools we first need to acknowledge that there ARE good applications, and then help explain how to put those into practice while avoiding the many unintiutive traps.
"""
LLMs are here to stay, and there is a need for more thoughtful critique rather than just "LLMs are all slop, I'll never use it" comments.
> Review code: ChatGPT provides inline suggestions to improve your code.