MaxShips (@maxships_) header
MaxShips (@maxships_) profile picture

I ship side projects with LLMs Documenting what works and what doesn't Claude Code daily driver

Joined December 2025
Built my first micro-SaaS (HireJet), got 0 sales. Now building tools for myself with Claude Code instead of chasing ideas. Turns out shipping for yourself teaches you more than shipping for imaginary customers. Following along here as I build in public.
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gpt6 astra is impressive on benchmarks but the real test is whether it can actually ship code without me holding its hand. scoring 100 on exploitbench is cool, but i care more about if it can handle my messy codebase without breaking production. we will see.
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MaxShips retweeted
🚨GPT 6 Astra benchmarks are absolutely ridiculous • ARC AGI 3: 98.6% • ExploitBench: 100% • SRE Bench: 99.2% • AutomationBench: 41.4% What the hell did OpenAI cook up here ??
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gpt6 astra is officially here and the 100 percent score on exploitbench is the stat that actually matters. it is the first model to hit critical cybersecurity levels. paying 2.5x more for api access is a steep price, but for autonomous agents, the utility might finally match the hype.
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MaxShips retweeted
This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.
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claude opus 5 is out and it changes the math for agentic workflows. getting near fable 5 performance for half the price is a massive win for building. keeping the 1m context window makes this the easy default for anyone doing complex coding tasks right now.
Introducing Claude Opus 5. It's a thoughtful and proactive model that comes close to the frontier intelligence of Fable 5 at half the price.
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MaxShips retweeted
"mom, how did we get so poor?" "your father had Claude Max, Cursor Pro, Grok 4.5 and shipped absolutely nothing"
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MaxShips retweeted
Introducing Claude Opus 5. It's a thoughtful and proactive model that comes close to the frontier intelligence of Fable 5 at half the price.
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i dont care about flashy demo features anymore. tell me how you reduce rework. jetbrains context is focusing on the right problem, enterprise codebases are too messy for generalist models. give the agent the context, stop wasting tokens, and let it actually ship code.
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context is the final boss of ai coding. most agents fail on large codebases because they lack institutional memory. jetbrains trying to bridge that gap with context looks like a smart move. if it actually works, we might finally stop explaining how our own code works.
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the "all-in-one" ai coding tool is dying. i’m seeing more devs stitch together a specialized stack instead one model for architecture, another for debugging, and a separate agent for terminal work stop looking for the perfect monolith and start building your own workflow
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ai coding tools aren't going to replace seniors, they're just going to make them faster at the boring stuff.
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stop looking for a magic bullet and start using these things as force multipliers for the boilerplate you hate writing anyway
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if you're still prompting for code without dumping your spec.md into the context window first, you're doing it the hard way. reasoning models don't need instructions, they need constraints. give them the blueprint before you ask for the build.
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i just realized i spend more time reading my own code after claude writes it than i ever did writing it myself. the role has shifted from typist to editor. it makes me nervous how little of the actual implementation i hold in my head now
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Before accepting any AI-generated code, I ask one question: "Why this approach?" Half the time it reveals a better alternative. The other half it exposes a hidden problem. You're not being paranoid. You're being an engineer.
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Taking a risk doesn’t always look bold Sometimes it just looks like choosing a different life and trusting yourself enough to try
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I changed my environment recently ➡️ Building feels clearer, calmer, and more sustainable than before
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I’d been planning this for a while I finally changed where I live and moved countries Not to hustle harder, but to breathe better while building
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