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Prompt Injection is an Information-Flow Problem

How prompt injection exploits trust boundaries through saved memory, and what runtime checks can prevent unsafe actions.

Akruti Acharya·deep dive

Looped transformers: three different machines

Classify depth, time, or flow. Nanbeige is the downloadable LLM. RLT lost at 140M. Looped Flows is a 5-7M puzzle net

Adham Khaled·deep dive

How to choose an agent harness for your workload

Your agent harness is an architectural decision that directly dictates task success and API costs. Here is how to match it to your workload.

Akruti Acharya·deep dive

KV cache techniques for faster, cheaper multi-model AI agents

Nvidia's Qwen3 14B to 32B mapper is 25.1x vs re-prefill at 32,768 tokens. Cache-to-Cache reports about 2.5x against text

Ben Dickson·deep dive

How AI Agents Are Learning to Rewrite Their Own Stack

Self-Harness reports relative gains of up to 132%. EnvHarness adds up to 9.0 points and 9.8% fewer steps

Ben Dickson·deep dive


When to use DeepSeek-V4.1-Flash

Field-test, Max effort, private repo to 512k. Reading 60/64 each. Kimi 8/8 vs DeepSeek 7/8 repairs. Bill $1.70 vs $31.75

Adham Khaled·opinion

What Belongs in AGENTS.md, Design Docs and Tests?

Why agent instructions accumulate and how to decide what to keep, move, or remove.

Akruti Acharya·deep dive

System One models are carving out a new layer in the AI stack

TypeSafe's Jev returns a typed answer in 70 to 500 ms at $0.042 per million input tokens, with no metered output-token cost

Ben Dickson·deep dive

How to Run Qwen 3.8 27B as a Local Coding Agent

Pick a file, an engine, and a harness for your Mac RAM. Install steps live in an interactive HTML page

Adham Khaled·tutorial

security

How to Review Your Vibe Coded App Before Deployment

METR’s API key theft shows why you must check authentication, credential access, and permissions before deployment.

Akruti Acharya·Sep 22

development

Understanding the “Harness Tax” Behind Coding Agents

21 combos, 60 tasks, 5x cost swing, and a 4-tool harness on the Pareto frontier

Ben Dickson·Sep 21

llms

What DeepSeek-V4.1-Flash teaches us about efficient AI

A 552B model with 890-byte KV cache, 8B active on input, and an Artificial Analysis 40 versus Gemini 3.8 Flash High at 41

Ben Dickson·Sep 14

agents

Self-Improving AI Skills Learn in the Notebook, Not the File

Google's WikiSkill paper gained 15 points of accuracy from a notebook its agent couldn't read, and its skills still need a transfer test

Adham Khaled·Sep 11

infra

Claude Prompt Caching: 6 Tricks That Cut Your API Bill

Breakpoints, TTL math, Batch stacking, and a two-session split. Measured on OpenRouter, $0.003 vs $0.022 per turn

Adham Khaled·Sep 09

development

When to Gate Recursive Terminal-task Synthesis

Mark each agent job Promote, Hybrid, or Reject. RST is allowed only when the job is hermetic, bounded, reproducible, and outcome-verifiable

Adham Khaled·Sep 08

post training

What Developers Can Learn From Shopify’s Self-Improving AI Pipeline

Fine-tuned 0.8B Qwen beat GPT-5.6 Sol xhigh, 2 million buyer profiles a day became 72 million, and GraphQL serving fell from $27 million to $1 million

Ben Dickson·Sep 07

agents

Coding Agent Cost: Why Sessions Get Expensive

Keep the project on disk, treat lunch as a bill, and score the first finished tasks rather than dollars per million tokens

Adham Khaled·Sep 03

agents

Rebuilding the Runtime: What NVIDIA NOOA Reveals About Agent Frameworks

Its object-oriented model clarifies the trade-off between live program state and durable runtime control.

Akruti Acharya·Sep 02

security

Shieldstral Tested: Why Runtime Policy Moderation Still Struggles with Exceptions

Shieldstral accepts policies at runtime. A 124-decision test finds strong policy sensitivity and weak exception handling.

Akruti Acharya·Sep 01

security

What a Week of AI Security Incidents Means for Developers

Seven practical shifts for securing agents that can find any crack

Ben Dickson·Aug 31


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