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17 posts
The open-source AI model landscape, June 2026
Benchmarks tell you what's technically capable. Production adoption tells you what actually works at scale. These are two different lists. Here's the 2026 open-source landscape ranked for real workloads.
Apple Just Entered the AI Agent Game. Here's What Changed
Apple announced Core AI for on-device LLMs, Xcode 27 with multi-model agentic coding, and free AI for indie developers. Three announcements that change the AI agent landscape.
Kimi K2.7 Code: the first open-source model that competes with Claude Code
Kimi K2.7 Code is the first open-source model I'd actually use in an agent loop. It drops into Claude Code's CLI with one env var change. It scores within striking distance of Fable 5 on coding benchmarks at half the price. And the weights are open.
MiniMax M3: open-weights coding, 1M context, multimodality at 12x less than GPT
MiniMax M3 is the first open-weights model that doesn't make you choose. Frontier coding? 59% on SWE-Bench Pro (beats GPT-5.5). 1M context? Sparse attention makes it affordable. Multimodal? Native, not bolted on. At $0.60/M tokens, it's 12x cheaper than GPT-5.5.
OpenAI Just Turned Codex into an Agent Platform
OpenAI is acquiring Ona to give Codex persistent, secure cloud environments. Codex is no longer just a coding assistant. it's an agent platform. Here's what changes.
Your AI Agent Just Scaffolded a Project from 2020
Your AI agent just scaffolded a project from 2020. It saw exit code 0, files appeared, and moved on. Here's why npm silently downgrades packages and what to do about it.
Every Anthropic model name, ranked
Sam Wilkinson's satirical HN post extrapolates Anthropic's naming scheme into absurd territory. Aphorism, Marginalia, Diatribe, Terms of Service. But the real names tell a story about strategy. Here's every one ranked.
npm v12 breaking changes: what to know
npm v12 ships in July 2026 with three security-focused breaking changes to npm install. Staged publishing, stricter install scripts, and stronger package.json validation. Here's what breaks and how to fix it.
AI agent business models: how to build a sustainable agency
I launched Agentic Up as a solo AI agent studio in Bengaluru and tried 5 pricing models. Some made money. Some lost money. One actually became a sustainable business.
AI agent pricing strategies 2026: what to charge
Three pricing models explained with AI-specific examples, scoping traps to avoid, and a proven method for raising prices over time.
AI agent pricing: how much to charge for custom agents
Pricing is the hardest part of selling AI agent services. Here's exactly how I price. the numbers, the reasoning, and the mistakes that led to this model.
AI developer jobs in Bengaluru 2026: market reality
The AI job market in Bengaluru is real but noisy. Here's what companies are actually paying, what skills command premium, and how to stand out as a developer.
How to build an AI customer support agent that works
I've shipped 3 production support agents for startups in Bengaluru. Here's the architecture, the code, and the hard-won lessons. from RAG to escalation to cost per conversation.
How to make money with AI as a solo developer in 2026
There are four real paths to making money with AI as a solo developer. I've tried all of them. Here's what actually generates revenue, and what's a waste of time.
How to start an AI development business from India
Starting an AI development business from India is different from starting one in SF or London. Different constraints, different opportunities, different mistakes. Here's what I learned.
एआई से पैसे कैसे कमाएं एक डेवलपर के तौर पर (2026)
एआई से पैसे कमाने के चार असली रास्ते हैं एक सोलो डेवलपर के लिए। मैंने सब आज़माए हैं। यह है जो वास्तव में राजस्व उत्पन्न करता है, और क्या समय की बर्बादी है।
बेंगलुरु में एआई डेवलपर नौकरी 2026: बाजार वास्तविकता
बेंगलुरु में एआई नौकरी बाजार असली है लेकिन शोर भी बहुत है। कंपनियां वास्तव में कितना भुगतान कर रही हैं, कौन से कौशल प्रीमियम कमाते हैं, और एक डेवलपर के तौर पर कैसे अलग दिखें।
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