PracticeDepth @PracticeDepth

Ace your next technical interview (tool to upgrade your skills as software engineer and get your dream job). #BuildInPublic practicedepth.com New York, USA Joined August 2026

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PracticeDepth @PracticeDepth

2 hours ago

@sama This is correct. We adopted same strategy at PracticeDepth

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PracticeDepth @PracticeDepth

2 days ago

@anupamrjp Wow…… congratulations

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PracticeDepth @PracticeDepth

2 days ago

@theandreilucian Niched accounts scale

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PracticeDepth @PracticeDepth

2 days ago

@leoleotoobad VS Code still works perfectly and you can do deep AI integration and codebase refactoring with it. You don’t need any new shiny tool for that.

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PracticeDepth @PracticeDepth

2 days ago

@CheckFirebase Is it open source?

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PracticeDepth @PracticeDepth

2 days ago

@MrBrjan Brutal

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When a user logs in first time, use ipapi to extract their location and store in fast lookup such as Redis. When they log in from another location (say London) user Haversine or another library to calculate the great circle distance between first location (Mumbai) and second location (London). Divide the distance by time difference. If the required speed exceeds a realistic threshold (e.g., 900 km/h for commercial air travel), flag it instantly.

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PracticeDepth @PracticeDepth

2 days ago

What is the Jev’s alternative everyone is talking about? Laya is an open-weight (Apache 2.0) "System 1" decision model from Convai Innovations, built by Nandakishor M as an open alternative to TypeSafe's closed Jev API. Instead of generating text, it takes a state (text, an email, a ticket, or JSON) plus typed questions (choice to pick a label, score to place something on an ordinal rubric, and noul for a yes/no probability) and answers all of them in one forward pass in about 33–40 ms on a GPU, so there's no output to parse and nothing to hallucinate. It comes in three checkpoints: a 421M-parameter English model on ModernBERT-large, a faster 322M multilingual model on mmBERT-base covering 100+ languages, and a variant fine-tuned for typed-decisions workflows. A built-in Router detects the input's script and sends it to the right checkpoint. It's trained with RLCD, a reinforcement learning method whose reward uses strictly proper scoring rules, so the model maximizes reward only by reporting honest probabilities; it also has an act-vs-escalate head for deciding when to hand off to a human. The author reports strong results, including beating Jev on AG News, emotion classification, and the typed-decisions benchmark while running roughly 6–8× faster, though the Jev figures are third-party numbers rather than head-to-head runs. The model card is also candid about its limits: the base checkpoints are near chance on typed-decisions without fine-tuning, accuracy drops sharply with 50+ options (Banking77: 0.425 vs. Jev's 0.870), ordinal scoring is its weakest question type, the English checkpoint fails on non-Latin scripts, and the models ship overconfident, so you need to fit a temperature on your own data before trusting the probabilities. Source: u/Balance from r/LocalLLaMA

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PracticeDepth @PracticeDepth

3 days ago

@code VSCode keeps getting better

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PracticeDepth @PracticeDepth

3 days ago

@oibafcodes Let’s connect

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PracticeDepth @PracticeDepth

3 days ago

@DariaWithAI That’s some tall bar…… must have been a viral post

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PracticeDepth @PracticeDepth

3 days ago

@pelloiafilippo Validating the idea

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PracticeDepth @PracticeDepth

3 days ago

@Goura_vk @X Let’s connect

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PracticeDepth @PracticeDepth

3 days ago

@m0agh Congratulations

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PracticeDepth @PracticeDepth

3 days ago

@fabrice_mayrand I’m running a benchmark and would post the results soon

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PracticeDepth @PracticeDepth

3 days ago

@vineerpasam that's for some serious work

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PracticeDepth @PracticeDepth

3 days ago

The core issue is that package.json typically specifies version ranges with carets or tildes, so running npm install on different machines or on different days can pull in different patch versions and nested dependencies. The lockfile pins down the exact dependency tree and integrity hashes, which guarantees that production, CI, and every developer on the team are running identical code.

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PracticeDepth @PracticeDepth

3 days ago

If your package.json already lists all your dependencies, why do we bother committing package-lock.json to git?

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PracticeDepth @PracticeDepth

4 days ago

Relational databases traditionally prioritize consistency, meaning during a network partition, they'll block writes to prevent data corruption rather than return stale reads. Most distributed NoSQL systems prioritize availability instead, staying online during partitions at the cost of eventual consistency. The decision boils down to whether your app can't afford to be wrong, which points to relational, or can't afford to go down, which points to NoSQL.

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PracticeDepth @PracticeDepth

4 days ago

DB: If you're starting a new project, how do you decide between using a relational database versus a NoSQL store, especially when it comes to the trade-offs the CAP theorem forces you to make?