Andrew
@_Andrew_Mic
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Building https://t.co/CaS5ZTGIrn → Helping Candidates practice interviews with a voice-based AI
Joined February 2018
Day 1: Building Lexiforge AI to 1,000 users 🚀 Revamped the core dashboard. Core actions are now front and centre: Generate Tweets Create Threads Manage Platforms View Insights The first version is scrappy, but speed takes precedence over perfection. Building fast,
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"There is good in everything, if only we look for it." - Laura Ingalls
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Everything starts in the mind. Guard it like your future depends on it.
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Accessibility isn’t an add-on. It’s a baseline. When you design for the edges, everyone benefits, including users you didn’t know you were excluding.
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Every system eventually reveals its weakest abstraction. When that moment arrives, resist the urge to patch. Step back, understand the failure, and redesign with humility.
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The hardest part isn't coding anymore, it's knowing which of your 50 ideas will actually matter in 6 months.
Knowing what not to build will be the next big skill to master, as vibe coding makes building super accessible.
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She survived the wildest corporate crisis in tech history and is leaving now during the calm? Either burnout or she knows something we don't
Big leave at OpenAI: OpenAI’s chief communications officer, Hannah Wong, is leaving in January after joining in 2021 and helping steer the company through major moments like the 2023 “blip,” with Sam Altman and Fidji Simo praising her impact. OpenAI’s VP of comms Lindsey Held
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This is production AI wisdom right here. Everything sounds obvious but you only learn it after shipping something that breaks in weird ways
After debugging a few AI applications, I've learned a few things: • Long prompts are not free. Models don't treat all tokens equally • Retrieval is worse when you overstuff context • Multi-step prompts don't solve polluted context • Bigger models help, but they don't
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Technical debt isn’t the enemy. Unmanaged technical debt is. Sometimes speed is the advantage just don’t forget to clean the battlefield when the sprint ends.
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CSS teaches patience. JavaScript teaches precision. Performance teaches discipline. Web development is a craft shaped by repetition, not luck.
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Apple watching everyone pay the NVDA tax and said "absolutely not." Vertical integration strikes again. This is the most Apple move possible.
JUST IN: Apple, $AAPL, is developing its first server chip for AI, code-named "Baltra," and is working with Broadcom, $AVGO, on the crucial networking technology to avoid buying from Nvidia, $NVDA
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Tried GPT-5.2. It's good, but feels rushed. OpenAI hit "code red" after losing ground to Gemini, and you can tell they prioritized speed over polish. The improvements are real though, beats human experts on 70% of professional tasks, way better at coding and data work. Tasks
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We’re entering an age where AI amplifies human creativity rather than replacing it. The real winners will be the builders who treat ML as a collaborator, not a competitor.
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The most expensive part of AI isn’t training. It’s maintaining trust. Explainability, fairness, and reliability are what turn models into products.
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Every engineer has that one bug that teaches them humility. The kind that steals hours, refuses logic, and then ends up being a missing comma. Cherish those moments. They sharpen your instincts.
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You don’t grow an audience by being perfect. You grow it by being relatable. Show the roadblocks, the awkward pivots, the unexpected wins. People connect with momentum, not polish.
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Explainability is not optional when decisions impact humans. If a model can’t justify its reasoning, trust collapses. Transparent AI wins long term.
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Large models feel like magic until you maintain them. Storage, latency, monitoring, guardrails… Scale introduces dragons that papers never mention.
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Apple announcing this is lowkey shade at their own Apple Intelligence. Yeah our AI exists but everyone's downloading the other one
Apple $AAPL said today that ChatGPT was the most downloaded app on its app store in 2025 - Tech Crunch
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Most dev jobs are 90% navigating bureaucracy and legacy code, 10% actual building. Side projects flip that ratio completely.
Things I thought I would learn working as a developer for 2 years… but never did. And learned in 2 months building my SaaS: • SaaS/app architecture • Real security • Malware & attacks • Docker • How deployments work • Servers/ VPS • Databases in depth • Storage •
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Framework wars are loud. But users don’t care what you used, only how the page feels. Choose tools that help you deliver joy faster.
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