Thoughts, research, and insights on technology.
Generating code with AI is cheap. Reviewing, testing, and deploying it isn't. The new bottleneck for engineering teams isn't writing the code — it's trusting it.
In 2024, you needed a 70B model to get good answers. In 2026, a 7B model trained on the right data beats it on most real-world tasks. The mechanism isn't a secret — it's distillation done well, and it's reshaping the entire model economy.
The phrase 'vibe coding' was a joke in 2024. By 2026, it describes how a non-trivial fraction of new software is actually built. The economics of this shift are stranger and more durable than the meme suggested.
Every frontier model now claims a 1M-token context window. In production, almost no one uses more than 64K. Here's the gap between the benchmark and the reality, and what to do about it.
Model Context Protocol started as Anthropic's spec for hooking Claude into tools. A year later, every major AI provider, IDE, and SaaS vendor speaks it. This is what protocol-winning looks like in real time.
For two years, the most-clicked role on LinkedIn was Prompt Engineer. In 2026, that role is quietly disappearing — because the model is now the one writing the prompts.
Current authentication proves who you are, but not where you are. SITUS Protocol introduces Environmental Entropy Vectors — a cryptographic primitive that binds every authentication event to the unrepeatable physical context in which it occurs. Credentials become non-relocatable.
Enterprise teams are ditching traditional SaaS dashboards for autonomous AI agents that monitor, decide, and act. Here's what's driving the shift and what it means for software builders.
RAG is the most deployed LLM pattern in production today. After building RAG systems for 18 months, here are the architectural decisions that matter and the mistakes that don't show up until scale.
ZK proofs used to be academic curiosities. In 2026, they're in production identity systems, blockchain rollups, and privacy-preserving analytics. A practical guide for developers entering the space.
Token costs are just the tip of the iceberg. After running LLM workloads in production for a year, here's where the money actually goes — and how to cut costs without cutting quality.
NIST has finalized post-quantum standards. The harvest-now-decrypt-later threat is real. Here's a practical migration roadmap for engineering teams that can't afford to wait.
AI systems fail differently than traditional software. After investigating 50 production incidents across ML systems, here are the patterns — and the engineering practices that prevent them.
Passkeys are replacing passwords across the web. Under the hood, they use public-key cryptography, platform authenticators, and the WebAuthn spec. Here's how it all fits together.
Login is solved. The rest isn't. AVIK is a new protocol that addresses what happens after authentication — session replay, unbound high-risk operations, and recovery downgrades — with four composable cryptographic controls.
From Yahoo to Change Healthcare, the last decade of cybersecurity breaches shares one common thread: stolen credentials. After 10+ billion compromised accounts, it's time to ask — what if authentication didn't require storing anything at all?
In May 2021, a single compromised VPN password led to the largest fuel pipeline shutdown in U.S. history. DarkSide ransomware demanded $4.4 million. KAVI Protocol would have made this attack structurally impossible.
The largest data breach in history exposed every single Yahoo account — 3 billion credentials. Bcrypt couldn't save them. KAVI's zero-storage model means there's nothing to breach.
In 2022, LastPass — trusted by 33 million users to protect their passwords — was breached. Encrypted vaults were stolen. The guardian of secrets became the single point of failure.
In 2017, Equifax exposed the Social Security numbers of 147 million Americans. The breach lasted 78 days before detection. KAVI's continuous authentication would have caught the intrusion in seconds.
Three approaches to customizing LLM behavior, each with different tradeoffs. A decision framework based on your data, budget, and accuracy requirements.
In February 2024, Change Healthcare was breached using stolen credentials on a system with no MFA. One-third of all Americans' health data was exposed. KAVI requires no MFA — identity IS the authentication.
Russian intelligence compromised SolarWinds' build system, embedding malware in software updates sent to 18,000 organizations including the U.S. Treasury and Pentagon. KAVI's behavioral verification detects anomalous system access.
Attackers used previously breached passwords to access 14,000 23andMe accounts, then exploited the DNA Relatives feature to steal genetic data of 6.9 million users. Behavioral authentication stops credential stuffing at the door.
T-Mobile has been breached at least 8 times since 2018, exposing data of nearly 100 million customers. Each time: stolen credentials, poor access controls. The pattern proves the paradigm is broken.
In 2024, a single campaign of stolen credentials breached 165 Snowflake customer environments — including Ticketmaster (560M records) and AT&T (110M records). No MFA. Same old story.
Attackers lurked inside Starwood's network for 4 years — through an entire corporate acquisition — exfiltrating 500 million guest records. KAVI's continuous authentication catches intruders in real-time.
In 2024, a background check company leaked 2.9 billion records including Social Security numbers of virtually every American. When the data broker is the breach, the entire identity model collapses.
From the XZ Utils backdoor to typosquatting on npm, supply chain attacks are the fastest-growing threat vector in software. How they work and how to defend against them.
Homomorphic encryption lets you compute on data without decrypting it. Once a theoretical curiosity, it's now fast enough for real applications in healthcare, finance, and privacy-preserving ML.
AI agents don't just write code — they review it. Autonomous code review catches bugs, security flaws, and design issues that human reviewers miss. Here's how it works.
The single most important capability that turned language models into agents wasn't better reasoning — it was tool use. Here's the technical story of how function calling changed everything.
AI agents aren't just writing code — they're defending networks. How autonomous security agents are transforming threat detection, incident response, and vulnerability management.
Traditional RAG retrieves documents and stuffs them into context. Agentic RAG plans queries, evaluates results, and iterates until it finds the right answer.
Building a demo agent is easy. Shipping one that handles edge cases, recovers from failures, and earns user trust is hard. Here are the lessons learned.
Not all AI agents are created equal. A practical comparison of Claude, GPT-4, and Gemini on real software engineering tasks — coding, debugging, and system design.
Single agents are powerful. Teams of specialized agents working together are transformative. Here's how multi-agent architectures are reshaping complex problem-solving.
The shift from AI-as-tool to AI-as-agent represents the biggest paradigm change since the internet. Here's how we got here and where it's heading.
Meta's OpenClaw brings transformer-based robotic manipulation to the open-source community. Here's what it means for the future of embodied AI agents.
AI agents are no longer science fiction. From code generation to autonomous debugging, 2025 marks the year AI agents moved from research labs to production systems.
