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Modern applications demand long‑lasting workflows that can withstand crashes, restarts, and failures, often relying on external platforms. pg_durable integrates durable workflow orchestration directly into PostgreSQL, enabling workflows to be created in SQL and reliably executed, monitored, inspecte
Gemini Flash + Supabase pgvector + Langfuse = a fully functional RAG chatbot with observability that costs exactly zero dollars. I wanted a chatbot on my portfolio that could answer questions about my projects, skills, and experience - without paying for infrastructure. No OpenAI bills. No Pinecone
Greedy algorithms are usually given in leetcode style technical interviews.They involve taking the maximum or minimum.Below is a an example of using the greedy approach to solve a problem. Problem Given an integer array nums, reorder it such that nums[0] nums[2] & nums) { vector nums1; for(int i=0;i
Gaming, like AI, is far from what fascinates me most about technology and creative development. Still, that's what many fellow developers talk about these days, and what makes for good, controversial topics for further nerdy small talk. This post continues the ideas from my earlier article, Learning
TL;DR Welcome back to Dev Opportunity Radar. This is a weekly series where I share opportunities, resources, and interesting finds that I come across, with the goal of helping people discover things they might otherwise miss. The response to the first edition was far more encouraging than I expected
ALGORITHM: Newton-Raphson Method for Finding Roots INPUT: OUTPUT: Step 1: START Step 2: Set iteration count i = 0 Step 3: Input initial guess x₀ Step 4: Input tolerance value ε (e.g., 0.00001) Step 5: Input maximum iterations N (e.g., 100) Step 6: DO WHILE i MAX_ITERATIONS) { printf("\nMaximum itera
Running AI Locally: Skip the API Bills and Build Faster Your coding session just started. You need to refactor a gnarly function, write tests, or debug something weird. Do you really want to fire up ChatGPT again? Hit API rate limits? Pay per token? What if you could run AI models locally, offline,
AI is everywhere in apps now: chatbots copilots smart search automation But most developers are still building AI features like this: 👉 send prompt → get response → repeat It works… Most apps treat AI like a simple API: const response = await openai.chat({ prompt: "Summarize this document" }); Seem
Every mobile dev has a release day ritual. Mine was eating 30–40 minutes a week — and adding zero value to anyone. You know the drill. Open Play Console, create a release, upload the AAB, write the notes, submit for review. Then open App Store Connect and do the entire thing again — but now with Xco
OpenAI details Codex Windows sandbox architecture, showing how SIDs, ACLs, restricted tokens, and dedicated sandbox accounts enable safe execution of autonomous coding tasks. The design balances isolation with real developer workflows and shows how OS security primitives must be composed for AI agen
Our fitness kit's iOS build used to take 14 minutes on CI. After upgrading to Expo SDK 54, it takes 4. That's not a CI optimisation. We didn't add parallel runners or bump the machine size. We just landed on the SDK that ships precompiled XCFrameworks by default. Same code, same build profile, same
Most CLAUDE.md files we see are too long. Five thousand lines, six thousand. Every team rule, every legacy comment, every "I once tried this and it didn't work" footnote. The author feels productive writing them. The model reads the first 800 lines and ignores the rest. There's a known ceiling, and
Cursor 3 ships a thing called "Build in Parallel." The pitch is straightforward: instead of executing a plan step by step, Composer identifies which steps are independent and runs them as concurrent subagents. It's a real shift. And it changes what a useful production template has to look like — bec
Technical Reconstruction: Interfaces, Traits, and Dynamic Method Dispatch Main Thesis: Understanding the 'why' behind Interfaces, Traits, and Dynamic Method Dispatch is crucial for self-taught developers to transition from building functional code to writing scalable, maintainable, and efficient sof
This is a submission for the GitHub Finish-Up-A-Thon Challenge Cijene ("Prices") is Croatia's premier open-source grocery price tracker and shopping cart optimizer, designed to help families fight double-digit inflation. It began as a hackathon prototype that won first place at a national software d
If you run paid acquisition on Meta for landing pages, you already know the problem: iOS 14.5 gutted browser-side tracking. Meta's answer is the Conversions API (CAPI) — server-side event delivery that bypasses ad blockers and browser restrictions. But "just add CAPI" is about 20% of the actual work
This is a submission for the GitHub Finish-Up-A-Thon Challenge This is my submission for the GitHub Finish-Up-A-Thon Challenge. The idea behind this challenge really hit home for me: finally finish what you started. AI-powered space operations intelligence platform that can investigate orbital risk,
3am page: GPU training pipeline missed its SLA. Datadog shows 95% GPU utilization. nvidia-smi agrees. Everything looks green, but the job is 3x slower than expected. Zero tools to diagnose this. eBPF kernel tracing produces causal chains in 60 seconds: the host CPU was fighting with DataLoader worke
I cancelled $123/month in subscriptions after finding these repos. Here's the list. Stars: 130K+ | Replaces: $20-200/mo in AI API costs Run Llama, Mistral, Gemma locally. No API keys, no usage limits, no data leaving your machine. brew install ollama && ollama run llama3.2 Stars: 70K+ | Replaces: Za
AI Gateway now features real-time spend limits to prevent runaway token bills across multiple AI providers. By integrating with Cloudflare Access, companies can use identity-driven budgets and policies.
