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Apr 2026

• 25 Apr 2026. DeepSeek V4 released as two open-weight MoE models (MIT license): V4-Pro (1.6T params, 49B active) and V4-Flash (284B params, 13B active), both with 1M token context.
  • A hybrid attention architecture (Compressed Sparse Attention + Heavily Compressed Attention) brings inference FLOPs down to 27% and KV cache to 10% of V3.2 at the same context length.
  • Best open-source model for math and coding. V4-Pro-Max trails GPT-5.4 and Gemini 3.1-Pro by a small margin, roughly 3-6 months behind the frontier.
  • First-class agentic support: optimized for Claude Code, OpenClaw and OpenCode out of the box.
  • API is live. Old deepseek-chat / deepseek-reasoner endpoints retire after Jul 24, 2026. Migrate to deepseek-v4-pro and deepseek-v4-flash.
  • Flash (160GB on HF) is the realistic self-hosting option. Pro is 865GB. Quantized versions from Unsloth expected soon.
  • Runs natively on Huawei Ascend 950 chips, a notable step toward a fully Chinese AI stack independent of Nvidia.
• 22 Apr 2026. A good collection of practices on automated AI code reviews by Ankit Jain
  • The Scalability Crisis: Manual post-PR review is no longer viable. AI agents have nearly doubled code output, causing human review time to spike by 91%, creating a bottleneck that traditional workflows cannot solve.
  • The Upstream Pivot: Human value must shift from reviewing implementation to defining intent. Instead of checking syntax, humans spend their energy writing rigorous specs and acceptance criteria before the code is written, which the machine then uses to self-verify.
  • The Swiss-Cheese Defense: Rather than one “perfect” human gate, the model uses a stack of imperfect automated layers. By layering signals like agent competition, deterministic guardrails, and adversarial “red-team” agents, the system catches errors where their individual failure modes don’t overlap.
• 12 Apr 2026. codespelunker is a CLI code search tool that understands code structure and ranks results by relevance. No indexing required with CLI, TUI, MCP and HTTP support.
• 12 Apr 2026. FluidVoice with paraquet v2 is soemthing i’ve been using now as my default speech-to-text on Mac, after evaluating WisperFlow, Handy and VoiceInk.
• 12 Apr 2026. thaw a fork of Ice. I’m switching to it, as Ice seems to the inactive now. #mac
• 04 Apr 2026. mise let’s you manage dependencies at OS level and project level. Thinking to manage my dev machine. The hard part is documenting what I have installed.
• 02 Apr 2026. Django Modern REST seems to be an emerging REST API library with focus on performance, scalability and pluggable serializers. Supporting msgpack, CBV and less of sync_to_async. Might evaluate it against the my current preferred django-ninja. gemini

Mar 2026

• 24 Mar 2026. pageindex generates a semantic tree-like json index of a lengthy document to allow for reasoning based RAG without the need for vectordb.
• 21 Mar 2026. moor is a better replacement for less and bat as PAGER. - 17 Mar 2026. Every layer of review makes you 10x slower via apenwarr

Feb 2026

• 20 Feb 2026. brew install git-trim git-trim - A dedicated binary for safely deleting merged branches. Handles edge cases better than bash one-liners, including squash-merged branches. #
• 19 Feb 2026. slingdata-io/sling-cli is a promising tool move/sync data between databases and files, esp. helpful for local testing, ci/cd while able to do stage/sql based transformations.

• 16 Feb 2026. https://modern-css.com/ has a really nice collection of CSS replacements for older hacks.

• 16 Feb 2026. panphora/overtype: The markdown editor that’s just a textarea with a small size footprint and a minimum looking UI https://overtype.dev (⭐3431) #markdown

• 15 Feb 2026. For generating embedding locally, nomic-embed-text is a large context length text encoder that surpasses OpenAI text-embedding-ada-002 and text-embedding-3-small performance on short and long context tasks. It has a balance of speed, 8k context, and accuracy for English-centric apps. BGE-M3, Qwen3-Embedding and E5-Small are other alternatives. #embeddings

• 15 Feb 2026. alibaba/zvec by alibaba is an embedded vector database supports both spare and dense vectors, along with structured data. It can be considered the sqlite of vector databases.

• 15 Feb 2026. yichuan-w/LEANN is a RAG focused framework focused on efficient storage with built-in chunking strategies embedding model management and MCP server. gemini
• 15 Feb 2026. K-dense known for using skills to enable deep research has published 140+ skills related to scientic research including literature review, data analysis, etc.
• 13 Feb 2026. zoocache is a sematic dependency based cache manager, that support in-memory, LMDB or redis backends. Integration with Django looks interesting.
• 12 Feb 2026. Handy Looks like a promising tool for to replace WisperFlow and VoiceInk for speech to text conversion. via
• 10 Feb 2026. Hono based on web standards is a great option for js runtimes esp. if you plan to deploy your code to cloudflare workers, bun or deno. You get faster startup time and cross-platform compatibility.
• 06 Feb 2026. Opus 4.6 launch.
  • context compaction (beta) and 1M context window, enables longer agentic tasks without loosing context.
  • they claim it has found 500 Zero-Day Flaws in open-source projects (yet to see the proofs though)
  • agent teams, multiple agent coordinates with a leader agent. https://code.claude.com/docs/en/agent-teams
• 05 Feb 2026. On blockchain, UIPC (Universal IPC) and SIPC (Secure IPC) are frameworks that allows different network to talk to each other using a standard protocol. While UIPC acts as the universal courier, SIPC acts as the security guard. Together, they create “Internet of Blockchains”. Gemini
  • Cosmos IBC & Polkadot - XCM are two industry leading protocols for UIPC
  • For the SIPC, Zero-Knowledge Proofs and Rollup architecture also “Trustless bridges” or “Cross-rollup communication” are often more frequently used terms in blockchain literatures.
• 05 Feb 2026. Vortex a newer format is supported by duckdb promises to be faster for random access and has zero-copy metadata, with better compression. While the support across the board is limited but worth considering for LLM/RAG based uses over parquet.
• 05 Feb 2026. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann manages to be both rigorous technical manual and something approaching a philosophical treatise on the nature of truth, consistency, and trust in distributed systems. [Claude][https://claude.ai/chat/0f58f2f6-bd56-41a1-a785-8267afa5a3d1]
  • Foundation. He starts by asking the questions “What do we actually want in our data systems”, answers them as - reliability, scalability and maintainability.
    • Reliability. The question isn’t whether failure will happen, it will, but the whether the systems can survive them.
    • Scalability. It’s not a binary question of whether a system is “scalable” or “not scalable”. Ask - “What happens when specific load parameter increase?”
    • Maintainability - most underappreciated of the three, he argues the majority of cost isn’t in initial development but in ongoing maintainence.
  • The data model wars - the skill isn’t in choosing the “best” database but in understanding which tradeoffs matter for your specific problem.
  • Storage engines. Two major approaches to read & write data from disk, neither is universally better.
    • Log-structured storage (like LSM-trees) optimizes for writes, every write is appended and the merged/compacted later.
    • Page-oriented storage (like B-trees) optimizes for reads, data is stored in fixed-sized block, which then get updated in-place, more like filing cabinet with each document has a designated slot.
  • Instead of asking “how do I build this?” ask “what does it mean for this to work correctly?”

Jan 2026

• 31 Jan 2026. Notes on “How AI assistance impacts the formation of coding skills” Article HN
  • AI speeds up coding but reduces deep understanding and mastery
  • Juniors (1-3 years experience) showed speed improvements with AI, but 4+ year developers showed no difference
  • Modern software work is more about requirements, specs, documentation, and communication than raw coding skill
  • Small sample size (n<8) and study design limitations make results questionable
  • Takeaways:
    1. Use AI for high-scoring interaction patterns: Ask conceptual questions and request explanations rather than just code generation
    2. Adopt AI for documentation and specs: Multiple developers report dramatic improvements in tickets, PRs, and documentation quality
    3. Be deliberate about learning: If using AI, actively practice explaining concepts and avoid pure copy-paste workflows
    4. Use AI to reduce grunt work: Let it handle boilerplate, test writing, and repetitive tasks while focusing on architecture and requirements
  • The research confirms what many suspected: AI coding assistants create a real trade-off between speed and skill development, but the practical significance is hotly contested. The critical question isn’t whether AI reduces learning (it does), but whether deep coding skill remains as valuable as expressing requirements clearly—and whether we’re comfortable with a generation of developers who can’t function without AI assistance.
• 12 Jan 2026. Distributed Key-value store – https://etcd.io/
• 12 Jan 2026. Learnt about VoiceLink, an alternative to [Wispr Flow] that have been using as my STT software, with it’s pricing model VoiceLink might be better replacement if it performs as good as WisprFlow
• 12 Jan 2026. The free-threaded version of python can be added to uv and github actions with t suffix. e.g. 3.14t and 3.13t source
• 11 Jan 2026. Puzer published a github recommendor that uses semantic embedding from user’s github stars all client side, I found some great recommendations which I plan to use:
  • pamburus/hl: A fast and powerful log viewer and processor that converts JSON logs or logfmt logs into a clear human-readable format. (⭐2657)
  • samwho/spacer: CLI tool to insert spacers when command output stops (⭐1663)
  • darrenburns/posting: The modern API client that lives in your terminal. (⭐11134)
  • plutov/oq: Terminal OpenAPI Spec viewer (⭐943)
  • wey-gu/py-pglite: PGlite wrapper in Python for testing. Test your app with Postgres just as lite as SQLite. (⭐577)
• 07 Jan 2026. Text based diagramming tools:
  • yuzutech/kroki: self-hosted solution for unified interface to buch of diagramming tools, including mermaid, d2, etc.! (⭐3875)
  • d2 provides a clean syntax and output as well.
• 07 Jan 2026. “Django Postgres Migration Tools - add-on for safer and more scalable migrations in django.

Dec 2025

• 27 Dec 2025. how uv got so fast. UV performance is because of design decisions while rust contributes to micro optimizations.
• 24 Dec 2025. “LangGraph is an orchestration framework for building stateful multi-agent applications using LLMs. It provides low-level primitives such as nodes and edges, along with built-in features that give developers granular control over agent workflows, memory management and state persistence. This means developers can start with a simple pre-built graph and scale to complex, evolving agent architectures. With support for streaming, advanced context management and resilience patterns like model fallbacks and tool error handling, LangGraph enables you to build robust, production-grade agentic applications. Its graph-based approach ensures predictable, customizable workflows and simplifies debugging and scaling.”
• 22 Dec 2025. Notes from Thoughtworks - Technology Radar vol 33
  • text-to-sql solutions aren’t working as expected
  • pnpm, langGraph, and pydantic recommended for adoption
• 22 Dec 2025. npx -y npm-check-updates tells you the latest versions of your package.json, ignoring pinned versions.
• 22 Dec 2025. Inversion of Control principle – “Don’t call us, we’ll call you”.
  • This design principle is used widely in Web Frameworks, GUI programs, etc in the form of event listeners, dependency injections, callbacks to avoid boilerplate code, resuability and testability.
  • Some popular examples are DOM, Flask, NestJS, Angular, etc.
• 20 Dec 2025. New tools:
  • gh-actions-lockfile to generate and verify lockfiles for gh-actions
  • Proxyman is more user-friendly http debugging proxy than Charles Proxy on MacOS
• 19 Dec 2025. “Choose Boring Tech” by Dan McKinley
  • “The failure mode of boring tech are well-understood”
• 19 Dec 2025. Notes from “Django rapid architecture”
  • Recommends organizing the codebase with interfaces at the top layer followed by readers and “actions”, Finally, ‘data’ as the bottom layer to organize Django codebase to allow for a simple code structure that allows for scaling
• 19 Dec 2025. VectorChord is a faster pgvector alternative.

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