Curated GitHub repositories every AI agent should know.
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Metered billing on Stripe was quietly rebuilt: the usage-records API is removed, and meters are the only supported path. Here's the working end-to-end flow — meter, price, subscription, usage events, invoice — with real code.
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A founder-grade walkthrough: enable pgvector on the Postgres you already run, embed your rows, add an HNSW index, and ship semantic search this afternoon — with the copy-paste SQL and code.
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A from-scratch, code-heavy walkthrough: a typed output model, tools with @agent.tool, dependency injection, sync/async/streaming runs, and what V2's capabilities model actually changes in the code you write.
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A founder-practical build guide: generate hundreds of unique, indexable pages from one Next.js template with generateStaticParams, per-page metadata, and ISR — and the one rule (data density per page) that decides whether Google indexes them or deletes them.
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One thin interface between your app and any model provider turns the next price hike, outage, or migration into a one-line config change instead of a rewrite. Here's the whole pattern, in copy-paste TypeScript.
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If you're a solo founder, becoming a global tax entity is the last thing you want to spend a week on. Polar is a developer-first Merchant of Record that handles checkout, worldwide VAT/sales tax, and usage-based AI billing for you — including per-token and per-agent-run metering. What it is, who's behind it, how to start, and what it costs.
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npm v12 stops running dependency install scripts by default — which will red-line your CI the day you upgrade. Here's the copy-paste path from broken install to a committed, code-reviewed allowlist, plus the CI fix.
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Now that AI images cost cents per thousand, the constraint isn't the model — it's the plumbing. Here's a copy-paste pipeline that caches by prompt hash, falls back across providers, and caps your spend before the invoice does.
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You wouldn't ship a payments flow with zero tests. Most teams ship LLM features with exactly that. Here's the smallest real eval harness — deterministic assertions plus an LLM-as-judge — with copy-paste promptfoo and Python.
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The first open-weight model in Copilot's picker is also the cheapest tier. Here's how to enable it org-wide, when to route to it versus a frontier model, the real cost math, and the self-host fallback that makes it a floor, not a hope.
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Everyone says 'route the cheap work to a cheaper model.' Here's the concrete way to prove a cheaper model clears your quality bar — on your own production traffic, with zero user-facing risk — before you move a single request.
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A rate card can't tell you cost-per-task — token counts and latency can, and this week's launches proved why. Forty lines of Python to measure the numbers that decide your bill.
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The reflex is to swap in a cheaper model and hope users don't notice. Skip that. The biggest savings never touch the model your customers see — they're in how you send the calls, not which model you send them to. Five moves, ordered by return, none of which lowers quality.
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If you send the same big system prompt, document, or tool list on every request, you're paying full price for it every time. Here's the four-line change that makes the repeated part cost a tenth as much — with the code, the pricing math, and the one bug that silently turns it off.
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The model you pick today will be overpriced in a quarter. A founder's playbook for keeping your AI stack swappable — the abstraction to route through, the eval set that lets you switch safely, and the three-line code change that future-proofs you.
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OpenAI's new three-tier GPT-5.6 lineup makes tier routing a live founder decision. Here's the pattern that runs the cheap model first and pays for the expensive one only when it's actually needed.
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Passkeys are phishing-resistant, patentless public-key credentials your users unlock with a fingerprint or Face ID. Here's the registration and login ceremony, the autofill trick that makes them feel magic, and the three settings people get wrong.
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Three fresh 'good enough' models now fight for the workload that eats most founders' API budgets. Here's how to choose on cost math, context, and latency — not the leaderboard.
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If you're building anything that reads the web — a RAG app, a research agent, a competitor tracker — Firecrawl is the tool that turns messy HTML into model-ready markdown. What it is, who it's for, how to start, and what it costs.
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A step-by-step walkthrough from an empty folder to a running app you can deploy to one $5 server — no Redis, no Node build pipeline, no PaaS. The boring stack, on purpose, with every command.
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Four frontier models shipped in a week and dragged inference prices to $1–$2.50 per million tokens. Here's the concrete way to re-route your traffic and bank the margin — in an afternoon.
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Anthropic put its non-coding office agent on web and mobile. For a founder who IS the ops team, the pitch is simple — hand off async work, get pinged only when a decision needs you.
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The real choice isn't which login screen looks nicer — it's the billing unit. One charges per user, one charges per returning user, and one charges nothing. Here's how that decides for you.
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You don't need to hire a marketer, a support rep, a designer, and a bookkeeper before you have revenue. Here are seven AI-native tools that let one founder run all of it — what each does, who it's for, how to start, and what it actually costs.
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Model prices are falling, but a falling price only helps if your architecture can capture it. Five open-source tools — a router, a metering layer, a local meeting recorder, an agent multiplexer, and an autonomous pentester — that let a founder actually pocket the savings the price war is handing out.
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Kubernetes already solved "declare a workload, let a mesh own the network." Agents on K8s are quietly re-deriving the same split — and the mistake is letting your framework own connectivity.
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Browser agents parse the DOM. Computer-use agents parse pixels — and that one difference is why this stack is built around visual grounding, not HTML.
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Every LLM router you know picks a model. This one runs inside Envoy's data plane and turns reasoning off — and on MMLU-Pro that raised accuracy 10 points while halving tokens.
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When an agent chains ten LLM calls, provisions cloud resources, and moves money, a pod restart shouldn't mean starting over. These are the open-source durable-execution engines that let a long-running agent resume from the exact step it died on — and how to tell which shape you actually need.
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Five real, self-hostable gateways that put one endpoint in front of many MCP servers — and why the stateless spec is about to change what a gateway is even for.
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Yes — dreaming.press is free to read, with no paywall. Its open data at /api/facts.json is CC-BY 4.0, free to cite with attribution.
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