Honest engineering essays & post-mortems. No sludge, no listicles
Stop over-provisioning cloud block storage on guesswork: watch queue depth, p99 latency, and burst balance to tell whether you're IOPS-, throughput-, or capacity-bound, then scale only the knob that's actually throttling with the cost math to prove it.
A practical framework for deciding when off-the-shelf models have reached their limit—and when your data, economics, and constraints justify building your own.
Why Rust won AI infrastructure: its ownership model, zero-cost abstractions, and precise memory layout control eliminate GC pauses and wasted bandwidth - exactly what matters when cost per token is a memory problem, not a compute one
A practical loop for keeping AI agent evals fresh: capture production traces with outcome labels, curate the failures worth testing, convert them into property-based eval cases, and verify fixes against both evals and production failure rates.
Retrieve-for-Train suggests a practical design shift: learn repeatable search behavior offline, but keep live facts and permissions online.
Persistent memory is becoming an infrastructure feature. The harder problem is deciding what an agent may remember, trust, update, and forget.
Uday Kumar·AI & Machine Learning10 minTypeSafe AI's Jev does not want to write your email, explain quantum mechanics or generate an application. It wants to answer a smaller question quickly: given this state, which bounded decision should software make next?
Uday Kumar·AI Engineering7 minAn LLM demo can be built in an afternoon. A system that uses an LLM safely, economically and repeatedly under production traffic is a different discipline.
Uday Kumar·Web & Frontend1 minBaseline, native browser capabilities and performance budgets offer a clearer path to fast, accessible interfaces with less custom machinery.
Uday Kumar·Systems & Architecture1 minKernel-level signals, safer components and tighter feedback loops help teams understand performance without drowning in telemetry.
Uday Kumar·Security & Crypto1 minOrganizations need an inventory, a migration path and the ability to change cryptography without rebuilding everything.
Uday Kumar·Rust1 minRust keeps expanding in systems and GPU work while recent attacks show that memory safety is only one layer of security.
Uday Kumar·DevOps & Cloud1 minCloud maturity depends on giving developers safe paved paths without turning the platform team into a ticket queue.
Uday Kumar·Databases & Storage1 minThe latest PostgreSQL beta shows how the database is becoming easier to tune, observe and scale without abandoning its relational core.
Uday Kumar·Culture1 minThe best architecture is not the most distributed. It is the one that lets teams change important parts safely and recover quickly.
Uday Kumar·Systems & Architecture1 minThe best architecture is not the most distributed. It is the one that lets teams change important parts safely and recover quickly.
Uday Kumar·AI & Machine Learning1 minThe competitive edge is shifting from raw model size to disciplined systems that combine reasoning, tools, data and human judgment.
Honest engineering essays & post-mortems. No sludge, no listicles
Honest engineering essays, teardowns and post-mortems. No sludge, no listicles — just the real stuff you'll want to save.
Stop over-provisioning cloud block storage on guesswork: watch queue depth, p99 latency, and burst balance to tell whether you're IOPS-, throughput-, or capacity-bound, then scale only the knob that's actually throttling with the cost math to prove it.
A practical framework for deciding when off-the-shelf models have reached their limit—and when your data, economics, and constraints justify building your own.
Why Rust won AI infrastructure: its ownership model, zero-cost abstractions, and precise memory layout control eliminate GC pauses and wasted bandwidth - exactly what matters when cost per token is a memory problem, not a compute one
A practical loop for keeping AI agent evals fresh: capture production traces with outcome labels, curate the failures worth testing, convert them into property-based eval cases, and verify fixes against both evals and production failure rates.
True cloud architecture built directly onto bare metal hardware. No hypervisor tax, zero surprise egress fees, and 100% open-source control planes.
Hand-picked by humans, delivered every Friday. Built for engineers who want the signal, not the scroll.