DeepSeek open-sources DeepSeek-V4, featuring sparse top-K mixture-of-experts routing, Multi-Token Prediction (MTP), and breakthrough token economics.
Deepak BagadaOct 13, 2026
Build an asynchronous event-driven multi-agent architecture using Langflow and Redis Streams. Decouple agent reasoning loops from blocking HTTP timeouts.
Mistral AI launches the Vibe coding ecosystem, uniting autonomous terminal coding, multi-modal Le Chat agents, and low-latency open-weight inference.
Build a high-throughput Milvus vector MCP server with FastMCP. Integrate sub-4ms approximate nearest neighbor indexing for frontier autonomous coding agents.
Hugging Face releases LeRobot 2.0, providing open-source physical AI models, teleoperation datasets, and cross-hardware robot deployment for modern engineers.
Compare Process Reward Models (PRM) and Outcome Supervision (ORM) in reasoning LLMs. Learn how inference-time step pruning cuts reasoning token costs by 48%.
DeepSeek open-sources DeepSeek-V4, featuring sparse top-K mixture-of-experts routing, Multi-Token Prediction (MTP), and breakthrough token economics.
Mistral AI launches the Vibe coding ecosystem, uniting autonomous terminal coding, multi-modal Le Chat agents, and low-latency open-weight inference.
Hugging Face releases LeRobot 2.0, providing open-source physical AI models, teleoperation datasets, and cross-hardware robot deployment for modern engineers.
Compare Process Reward Models (PRM) and Outcome Supervision (ORM) in reasoning LLMs. Learn how inference-time step pruning cuts reasoning token costs by 48%.
Build an asynchronous event-driven multi-agent architecture using Langflow and Redis Streams. Decouple agent reasoning loops from blocking HTTP timeouts.
Discover how to build an autonomous SQL migration agent with Bytebase and LangGraph. Automate schema linting and shadow rollouts with sub-4ms locks.
Build an autonomous multi-region DNS failover agent with AWS Route53 and Cloudflare Workers. Automate sub-3s health checking and zero-downtime routing.
Build an autonomous Redis cache invalidation agent with Debezium CDC and Kafka. Automate sub-15ms cache invalidations and eliminate stale read drift.
Build a high-throughput Milvus vector MCP server with FastMCP. Integrate sub-4ms approximate nearest neighbor indexing for frontier autonomous coding agents.
Build a high-performance OpenSearch vector MCP server with FastMCP. Integrate hybrid BM25 and k-NN retrieval for sub-6ms agent tool execution.
Build a production Typesense Search MCP server in Python. Deliver sub-5ms typo-tolerant fuzzy retrieval and instant metadata filtering for AI agents.
Build a production Weaviate Hybrid Search MCP server with multitenancy and BM25 fusion. Deliver sub-10ms filtered vector retrieval for AI agents.
Microsoft open-sources Orchard on GitHub, decoupling agent training from inference execution to slash latency by 87% and eliminate memory thrashing across enterprise multi-agent swarms.
OpenAI confirmed it cannot rule out that Astra has critical-level cyber capabilities, triggering an unprecedented safety gate. The 10T-parameter model's release is now indefinite.
Your multi-agent system has a cache coherence problem. When three agents read and write shared state simultaneously, 34% of deployments experience silent data corruption.
When your agent crashes at step 8 of a 12-step workflow, you lose everything. This Temporal MCP Server gives agents durable execution that survives crashes, deployments, and network failures.
PaperGraph MCP turns academic math papers into evidence-grounded reading maps for AI agents -- parsing LaTeX source into theorem dependency graphs.
Deepak Bagada
Obra Superpowers has exploded to 285K GitHub stars by rethinking how AI agents collaborate on software — not as monolithic coding tools but as a skills-driven ecosystem of specialized sub-agents. This guide builds a production LangGraph workflow that mirrors the Obra methodology: orchestrating planning, coding, reviewing, and testing agents with failover, memory, and self-healing loops.
Deepak Bagada
Practical AI agent patterns for engineering teams: automated debugging of production incidents, low-level design document generation from requirements, and self-healing test suites. Real-world benchmarks from 26-point HN engineering agent workflow.
Deepak Bagada
Deep dive into Axe, the 227-point HN project that packs a complete AI inference framework into a 12MB static binary. Zero dependencies, ONNX runtime, model serving, and API endpoints — all in one file you can scp to a server and run immediately.
Deepak Bagada
Build a Golf Scanner MCP server that discovers and audits every MCP server running on your machine. Scan processes for MCP endpoints, inspect registered tools, check security posture, detect exposed configuration files, and identify vulnerable or outdated server versions.
Deepak Bagada
Build an MCP analytics server that provides product analytics and evaluation metrics for AI agent sessions. Track every tool call, measure latency and success rates, compute aggregate performance metrics, and enable data-driven agent optimization — all through MCP tools.
Deepak Bagada
Build a peerd browser-based AI agent harness where agents run entirely in-browser using WebGPU-accelerated local LLMs. LangGraph orchestrates agent state with IndexedDB persistence, zero server backend required.
Deepak Bagada
Build a SimCity agent workflow where AI agents play simulation games through a REST API. LangGraph orchestrates autonomous city-building, resource management, disaster response, and economic optimization — all through structured agent tool calls to a game API.
Deepak Bagada
Build a Tiptap AI Agent MCP server that adds AI-powered content workflows to any text editor. Generate, summarize, rewrite, translate, and optimize content through structured MCP tool calls — no more context switching to ChatGPT.
Deepak Bagada
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