Siddhant Khare

A compiled vLLM run had a lower observed complete-response latency sum across 12 requests, but cold-start debt and different outputs ruled out a break-even claim.

A technical guide to connecting heterogeneous AI performance evidence without erasing measurement scope, failure state, or claim boundaries.

Eight pinned OpenRouter requests split the decision: GLM-5.3 won passing throughput, while Flash bought far more passing cases per dollar.

How LLMTraceFX resolves xctrace XML references, preserves process identity, handles sentinels, and checks the result against known dispatch counts.

A 16,081,490,933-byte model hit a clean-boot Metal OOM at 256 prompt tokens on a 24 GiB M5 Pro.

Five controlled Metal captures matched known dispatch counts by PID.

An 8 KB HTTP read hid visible output for 185 ms in a controlled test.

A useful agent trace must show what it missed, not just what it recorded.

A technical guide to the control plane behind production coding agents: workload selection, identity, sandboxes, context, workflow graphs, CI, observability, and human control.

Agent coding tools need to make their work reviewable, not just generate more code.

Under partial failure, retry loops can rearrange history.

Agents need delegated access, not inherited human access.

What four years at Gitpod and Ona taught me about public work, trust, messy ownership, and getting closer to rare work.

Netflix spent years building their experiment platform.

agent-trace shipped two months ago as a debugging tool.

I turned down two roles at global tech companies this year.

Your team fills a Google Form.

The Bitwarden CLI supply chain attack explicitly hunted Claude Code, Cursor, and Codex CLI configs.

The Vercel breach did not start at Vercel.

There's a moment in every long review cycle where you quietly check out.

Stripe merges 1,000+ agent PRs per week.

I read Claude Code's leaked source.

Most AI content teaches you how to write prompts.

Nobody told me that ambition has a tax.

We have better observability for a Node.js microservice than for an agent that just rewrote half a codebase.

Fifty approval prompts or full shell access.

Not prompts.

You're using AI to be more productive.

Gitpod started as an open-source project.

Where containers stop being simple Containers are sold as a solved abstraction.

Bought my first home.

A deep dive into semantic deduplication for LLM context windows If you're building with RAG...

Finding vulnerable code is only half the battle.

Why traditional access control fails for AI agents, and how relationship-based authorization provides...

The $10M question nobody's asking While the industry obsesses over model parameters and...

Introduction AWS S3 Vectors promises "billions of vectors with sub-second queries" and up...

TL;DR: While building AgentFlow, an open source orchestration engine for AI agents, I discovered...

This analysis is based on official pricing documentation and straightforward cost calculations. ...

Competence earns respect, but originality creates legacy.

Whatever you do, care.

Your AI teacher is free, available 24/7, and infinitely patient.

Organizations will always reward perceived value over hidden value.

LLM inference is shifting from compute-bound to memory-bound.

A technical examination of production-grade LSP-MCP integration After spending months analyzing AI...

Most people think you build skills, then market them.

You spend time setting up Claude Code with specific instructions in your CLAUDE.md file.

Prompt engineering optimizes the question.

Claude Code is a powerful AI development tool, but it comes with a rate limit if you're on the Pro...