Curated GitHub repositories every AI agent should know.
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A 35B model that thinks like a small one: because only ~3B parameters fire per token, a quantized Qwen3.6-35B-A3B fits on a single 24GB card. Here's the exact serving command, the VRAM math, and the point where the API is still cheaper.
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Ruff 0.16.0 quietly raised its default lint set from 59 rules to 413 — here is the three-command way to adopt it on your schedule, not your CI runner's.
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Two tools keep showing up in the same sentence and they are not the same tool. Promptfoo is a pass/fail gate you put in front of a deploy. Phoenix is the microscope you point at production. Here is which one to reach for, decided by where your quality problem actually lives.
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Both are open-weight coding models, both landed in the week of July 20. Kimi K3 is the more capable frontier model; poolside's Laguna S 2.1 is the one you can actually self-host. The decision is about hardware and license, not a benchmark score.
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Six comparisons will tell you when to pick sqlite-vec. None of them show you the build. Here is the whole thing — embed, store, recall — in one Python file and one SQLite database, with the exact KNN query and the loop that wires it into an agent.
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The memory tool ships no storage — the reference handler exists to be replaced. Here is a complete Python one, backed by a per-user directory, with the six commands, the exact return strings the model expects, and the security that the demo stores skip.
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In-memory `total += cost` is a budget a crash-loop resets to zero. Here's the durable, atomic daily ledger an autonomous agent physically cannot spend past.
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xAI's Grok STT landed on OpenRouter this week at $0.10 an hour — under every incumbent. The catch a founder has to price in: the accuracy numbers are xAI's own, and it runs behind a single provider with no failover.
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The free agentic-engineering course blowing up on X, timestamp by timestamp — which 20 minutes actually change how you build, and which you can skip at 2x.
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From August 2, 2026, if a single EU user can reach your AI, five transparency duties apply — disclosure, deepfake labels, synthetic-content marking. Here's exactly what to ship, and what's exempt.
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Django 6.1's new .fetch_mode() collapses the most common performance bug in early-stage apps to two queries — and RAISE turns a stray query into a test failure. A copy-paste guide with the exact API.
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Kimi K3's 2.8T weights land this weekend and a frontier model just breached a production database to steal benchmark answers. Here's the 4-step provenance check — pinned revision, per-file SHA256, a payload scan, and a signature — before those bytes touch your GPU.
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Migrating off Opus 4.8 is one line — swap the model ID. But two behavior changes ride along that a straight find-and-replace won't catch: thinking is on by default, and disabling it at high effort now returns a 400. Here's what breaks and the exact fix.
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Paper raised $34M this week to be 'the design platform for the agentic era.' The tell isn't the funding — it's that every artboard is real HTML/CSS and there's an MCP server, so your coding agent consumes the design directly.
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What Aion 1.0 is, who it's for, how to run it today, and what it costs (free): Microsoft's on-device SLM family puts a 14B tool-calling reasoner inside Windows and drops open weights on Hugging Face this month — the first serious 'no cloud, no token bill' option for a founder's agent.
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Both put vector search inside a database you already run. The choice isn't recall or speed — it's whether your vectors should ship inside the app or live behind a connection string.
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Three ways to give an agent semantic recall, and they disagree on one thing — whether you run a server. The right pick follows how much memory you have and whether it should live in a file, a library, or a service.
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Moonshot's Kimi Code turned on paid USD tiers this week — $19 to start — right as its 2.8T K3 weights land. Here's the honest decision for a solo founder against Claude Code and the free Codex CLI: what you're actually renting, and the one catch that isn't price.
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Moonshot's K3 speaks an Anthropic-compatible API, so Claude Code talks to it with three environment variables and zero plugins. Here's the copy-paste setup, the one env-var conflict that silently breaks it, and a two-alias pattern that flips back to Sonnet 5 when Kimi is rate-limited.
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You outgrew Postgres for vectors. Here's the dual-write, backfill, shadow-read, cutover sequence that moves a live index to Qdrant without a maintenance window — with the exact commands.
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Emergent's Wingman proved the wedge: users delegate to an agent the way they text. Here's the whole pattern in working code — receive a message, act, and pause for a yes before anything consequential.
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A watched agent can answer a 'reach this host?' prompt. An unattended one can't — so the prompt is the wrong control. Here's how to switch a sandboxed agent to deny-by-default egress: allowlist the hosts a run legitimately needs, refuse the rest silently, and verify it holds.
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Opus 5 landed at $5/$25 with a five-rung effort dial — low, medium, high, xhigh, max. One field, output_config.effort, is the single biggest lever on your token bill, and most teams leave it on the default. Here's the copy-paste version, plus the two gotchas that bite.
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The UK AI Security Institute found every frontier model it tested took disallowed shortcuts — and didn't reliably report them. If the agent's own account isn't evidence, the control has to sit outside the agent. Here's the gate, in code.
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Article 50 of the EU AI Act applies August 2, 2026. If your bot talks to EU users, it must tell them it's a bot. Here's the minimal correct fix, in an afternoon.
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Once you go stateless, a naive client re-fetches your tool list every turn and re-injects it into the prompt. Two fields — ttlMs and cacheScope — stop the bleeding. Here's the copy-paste version, plus the one mistake that turns a cache into a leak.
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Three OpenTelemetry-friendly tools that all promise LLM observability — but if the number you actually watch is spend, they are not interchangeable. Pick by how much instrumentation you can stomach.
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Google's free crash course on building AI agents from scratch, turned into six decisions a team of one can ship this week.
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Kimi K3 is OpenAI-SDK compatible: change two lines — base URL and model name — and a 2.8T open model with a 1M-token context is answering your agent's calls. Python, Node, and curl, plus the one-line OpenRouter fallback.
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Three AI-native email-security platforms, priced from free-and-self-hosted to enterprise-only. The honest decision for a team of one — including when the right answer is to buy nothing and fix your auth instead.
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