Vikash Singh Tomar @code_bytein

@kav_kavi11 Use a durable job queue, process reports in chunks, and checkpoint completed stages. Retry failed chunks independently with idempotency, then merge partial results instead of restarting the entire report.

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Vikash Singh Tomar @code_bytein

11 hours ago

@saloniiio i use opus

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Vikash Singh Tomar @code_bytein

13 hours ago

@Secureintent_ai great oppurtunity to get some money in 💸💸

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Secureintent.ai @Secureintent_ai

13 hours ago

We're building our Desktop App. 🖥️ And we need beta testers. Clipboard. Terminal. Local environment. All protected. All on-device. Zero retention. What you get: ✔️ Be among the first to test it ✔️ Shape what we build ✔️ Lifetime Pro License - FREE 💰 Cash bounty rewards for valuable bug finds Interested? Join our Discord 👇 Link in comment section

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Vikash Singh Tomar @code_bytein

21 hours ago

@SakshiSugandhi B id the one

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Vikash Singh Tomar @code_bytein

22 hours ago

Tech Lead says: Your PR has 47 files changed. Junior dev: But it's just one feature. Tech Lead: That's not one feature. That's one disaster waiting to happen. Junior dev: 😶 Do you know what he meant? 🤔

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Vikash Singh Tomar @code_bytein

24 hours ago

@neerajjj6785 Absolutely. Different agents have different strengths. A smart orchestrator that assigns tasks, compares outputs, and verifies results could be more valuable than another coding agent. The real challenge is avoiding the cost and complexity overhead

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Vikash Singh Tomar @code_bytein

24 hours ago

@Aditya_181105 😂😂

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Vikash Singh Tomar @code_bytein

24 hours ago

@gxjo_dev The hardest part is realizing your “1-month project” has entered its own financial year.

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Vikash Singh Tomar @code_bytein

24 hours ago

@vibeonX69 Benchmarks are one thing, but real-world coding is different. I’d compare both on debugging, refactoring, and handling large codebases. The real winner is the one that ships reliable code with fewer iterations.

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Vikash Singh Tomar @code_bytein

24 hours ago

@kav_kavi11 I’d check query volume, slow query logs, lock waits, connection count, and execution plans first. Often it’s thousands of individually cheap queries adding up. Fix the root cause with indexing, query optimization, caching, or connection pooling before scaling.

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Vikash Singh Tomar @code_bytein

24 hours ago

@noor36758 ech is still worth it. The era of getting paid just for knowing syntax is fading. People who can solve real problems, adapt to AI, and build useful products will still have opportunities. We’re not cooked, we just need to evolve

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Vikash Singh Tomar @code_bytein

24 hours ago

@Its_Nova1012 Usually, the database uses locking and transaction isolation to manage concurrent updates. Without proper concurrency control, the last successful write can overwrite the first. That’s why optimistic locking with version numbers is so useful.

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Vikash Singh Tomar @code_bytein

24 hours ago

@0xPrajwal_ i'm not using any

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Vikash Singh Tomar @code_bytein

24 hours ago

System Design Interview: You build a chat application. 10 million users online simultaneously. User A sends a message to User B. Both connected to different servers. Server 1 has User A. Server 2 has User B. How does the message get from Server 1 to Server 2 in real time? 🤔