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Explore the latest tech news, AI trends, helpful education guides, free UI components, developer designs, and top GitHub repos all in one place.
latest blogs
Curated deep-dives, developer frameworks, and open-source tooling grouped by topical silo.
Anthropic API Version 2026-10-21: What Breaks and How to Migrate Safely
Anthropic's new API version 2026-10-21 and the new SDK majors (Python 2.0.0, TypeScript 1.0.0 and more) remove temperature, top_p and top_k, change how API keys are sent, and split MessageParam by role. What breaks, who is affected, and a step-by-step upgrade plan.
Mistral Large 4 Open Weights: 1T-Parameter Specs, Real Hardware Needs and the License Catch
Mistral Large 4 (Le Chonk) is a 1-trillion-parameter open-weight MoE with about 52B active parameters, a 1M context window and image input. Real download sizes (FP8 ~1.06 TB, Q4_K_M 635 GB, IQ2_XXS 298 GB), what hardware can run it, the Model-as-a-Service license condition, API pricing and benchmarks.
Claude Haiku 5.5 vs GPT-6.1 Sol: Why Haiku 5.5 Is 20x Cheaper for Coding Agents
Claude Haiku 5.5 costs $0.10 / $0.50 per million tokens; GPT-6.1 Sol costs $2 / $10. Where the 20x gap is real, where it shrinks to 4x, the tokenizer and long-prompt catches, worked cost examples for coding agents, and when Sol is still worth paying for.
Liquid AI LFM2.5-24B-A2B Local Setup: Run 24B MoE on 16GB & 24GB VRAM (Q4_K_M GGUF Guide)
How to run Liquid AI's LFM2.5-24B-A2B locally with llama.cpp: real GGUF file sizes (Q4_K_M is 14.5 GB), which quant fits 16 GB and 24 GB GPUs, KV cache math, copy-paste llama-server and Docker commands, CPU expert offload for 8–12 GB cards, and how to measure your own tokens per second.
github repos
Curated open-source runtimes, libraries, and agent frameworks with interactive architecture breakdowns.
Ponytail
A skill for Claude Code, Codex and other coding agents that makes them write only the code a task needs: reuse what already exists, lean on the platform, and never cut validation, error handling, security or accessibility.
Impeccable
A design vocabulary for coding agents: 24 commands to steer, review and polish UI, plus a detector with 62 deterministic rules that catches common "AI slop" design patterns without an LLM.
ECC (Everything Claude Code)
An open-source engineering system for coding agents: 71 agents, 314 skills and 98 command shims (per its README, November 2026), plus hooks, rules, memory and AgentShield security scanning.
Effect
A TypeScript library for building robust, type-safe applications, with typed errors, dependency injection, structured concurrency, scheduling and tracing. Effect 4.x is a long-term support release.
Caveman
A toolkit that makes AI coding agents say less and read less: a terse answer style, compression of logs, JSON and test output before the model reads them, and an optional model router, with code and commands kept exact.
Agent-Reach
A read-only tool that lets AI agents search and read platforms they normally cannot reach, such as YouTube transcripts, Reddit, X, Bilibili, Xiaohongshu, V2EX and GitHub, through one agent-reach command.