A Better Workflow for AI-Assisted Coding: Lessons from Matt Pocock
I recently watched Matt Pocock's workshop, Full Walkthrough: Workflow for AI Coding . The main takeaway: Good AI-assisted coding is not about writin…
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I recently watched Matt Pocock's workshop, Full Walkthrough: Workflow for AI Coding . The main takeaway: Good AI-assisted coding is not about writin…
A WhatsApp assistant for an Indian jewellery store will be asked about prices constantly. Today's rate, making charges, the cost of a design in a gi…
Building VALOGRAPH: Real-Time Valorant Tactical Graph Intelligence & Persistent Agent Memory with FalkorDB and Groq Competitive gaming moves in…
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between…
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between…
Memory layers for AI agents love to quote LongMemEval. You will see 94%, 95%, 96%. Those numbers are real, but they usually measure retrieval: was o…
Originally published at tensorust.com . TL;DR: I fired 100 LLM calls at once into a rate limiter that refills 10 requests a second, using the defaul…
Hi! Switching between AI coding tools is useful until you have to explain the same task all over again. The next agent needs more than the original…
Every developer I know has the same reflex when a feature is done: write a test that feeds it an input and asserts the output. That reflex is correc…
Microsoft says so in the overview page for its Agent Framework, the product meant to help you build on its models: "You are responsible for carefull…
A general model can take an image plus a question and return segmentation, bounding boxes, and object detection, work that used to require its own t…
TL;DR I built Antirion , an open-source (Apache-2.0) AI gateway written in Rust: one binary between your apps and LLM providers, with routing, fallb…
If you can ship ordinary software, you can start building with large language models. I would not start in the API console. I would learn five ideas…
Reflection released the weights for Beam on October 16, 2026. It is the lab's first open-weight model: a sparse mixture-of-experts (MoE) model with…
AI agents are powerful, but their verbose tool outputs often bloat context windows, driving up API costs and hindering performance. Every time an ag…
I've put our benchmark numbers on Hugging Face, as an open dataset with a small leaderboard Space on top, so anyone can pull the rows and argue with…
Most developers using terminal coding agents like Claude Code , OpenCode , Codex , or Cursor end up running an LLM router in the background to handl…
Problem statement When you change a function-calling or Structured Outputs schema after users have active conversations, older turns and replayed to…
Plenty of agent tutorials open with a framework import. I'd start with ordinary functions that call a model, return structured data, and invoke tool…
Prompt Image Atlas editorial team Diagram/photo composite: Urbanphhotolab / Wikimedia Commons, CC BY-SA 4.0; cropped and combined. https://commons.w…
I worked on VibeCodeArena as a consultant with HackerEarth , and while I was busy fixing AI-built apps, I got curious about the leaderboard. This po…
You can ship a polished eval dashboard and still learn nothing about whether the product works. A common way to get there is picking a number becaus…
Short answer: call claude-haiku-5-5 for classification, extraction, routing and summaries, and claude-sonnet-5-5 for multi-step coding and long tool…
Scenario A team already lives in Claude Code and Codex — repos, shell, MCP servers on their own machines. Colleagues should reach that same power fr…
You are halfway through a task with an agent. It has found the settings page and filled in most of the form, and then it stops: "To continue, please…
A benchmark for what happens to citations after a retrieval server hands its results to an AI agent it doesn't control. Part 1 of 6 in the series Ci…
How to run a local AI model that actually works on old hardware I have been running language models locally on a 2012 laptop with 4 cores, 8 GB of R…
Most "how LLMs work" explainers end at transformers and attention. The parts that decide whether a model is actually good — the data pipeline, the p…
Most LLM client code has a retry branch that has never actually run. The provider returns 200 in every test, so the 429 , 500 and timeout paths sit…
Getting a model to write a page is the easy part. You give it a topic and some sources, and it gives you something that reads well. If that were the…