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Dissecting 13 models on Opencode GO: $10/month, which model should be used for what?
I used to have 5 API keys for 5 different providers. DeepSeek had one key, MiniMax had one key, OpenRouter had a balance, Anthropic had a subscription… Every end of the month, I would sit and check each dashboard to see how much money was spent, which key was about to expire, which balance had only 3 cents left.
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Claude Code has superpowers, but nobody tells you how to unlock them, this plugin does that.
When I first started using Claude Code, I opened the terminal, typed claude, and then… sat staring at the blinking cursor. I knew it had hooks, MCP servers, skills, subagents, plugins - an entire ecosystem of extension points that Anthropic had been heavily promoting. But where to start? Which ones were actually useful for my project? How do I configure them after installation?
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Claude-Mem: When AI Agents Can Remember Everything You've Done
Claude-Mem: When AI Agents Can Remember Everything You’ve Done Last week, I opened Claude Code to continue the feature I was working on - and realized I had to explain the entire project context from scratch.
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9Router: A Lifesaver for Devs as AI Coding Becomes Increasingly Expensive
9Router: A Lifesaver for Devs as AI Coding Becomes Increasingly Expensive Introduction: Why is the “AI Summer” Making Your Wallet Cry? In recent months, the AI coding community has received some unpleasant news:
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Graceful Shutdown: Benefits and Reasons to Have It
There was a time when our team deployed a new version at 11 pm. After running kubectl rollout restart, 30 seconds later, PagerDuty alerted: 200 502 errors in 5 seconds. Customers were placing orders when they encountered a timeout. We quickly rolled back, then checked the logs - it turned out that the old pod was terminated with SIGTERM, the HTTP server shut down immediately, and 50 requests being processed were cut off entirely.
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Goroutine management: errgroup, leak-proof, backpressure
Last month, one of our team’s services suddenly slowed down like a turtle. The p50 latency jumped from 50ms to 3 seconds. Upon checking Grafana, there were 120,000 goroutines running - normally, there are only 200. Someone had just pushed code and forgotten to call defer cancel() in a batch processing loop.
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When to use cache and when not to
There is a production bug that I still remember vividly: user A cancels an order, but the app still displays “delivering” for the next 10 minutes. Support receives 30 tickets in one morning. The reason: cache TTL is 10 minutes, but no one invalidates it when the order status changes.
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API Filtering: retrieving data like a coffee connoisseur
In my first year of working, I once wrote an endpoint GET /api/menus that returned… the entire menu. 200 items every time it was called. The JSON was 1.2MB heavy. The frontend only needed the name and price of 10 active dishes. I remember the first thing my lead said: “You’re sending the entire warehouse to someone who just needs to view the menu, aren’t you?”
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Context in Go: passing data, deadline, cancel - use correctly or die of performance
When I first coded in Go, I encountered a strange production bug: after running for 3-4 days, the service suddenly consumed 8GB of RAM and caused an OOM error. I spent the entire Friday afternoon debugging and finally discovered the issue: a goroutine never ended because I forgot to pass the context to the gRPC call. Each request leaked a goroutine, and after 100K requests, the server was overwhelmed.
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