Developer News

Comments

ok so real talk. your latency graph looks clean. error rate is chilling. every /chat is HTTP 200. and the answers are just… wrong. like confidently wrong. mid. that’s the thing that lowkey haunted us after HackRx RAG 6.0 . like ~ 1000 teams , we some

Short version first, for anyone who just wants the outcome: I run Claude Code on a flat monthly subscription, not pay-as-you-go. For months that plan never gave me a reason to look closely at it, so I stopped looking. Then an overnight automation bur

Comments

"You're spawning a fresh codex exec for every single call? Just run the app-server and reuse a thread. The prompt cache alone will pay for it." That sentence sounds so obviously right that nobody ever benchmarks it. We run a small bazaar of headless

Claude Opus 5 is out, and Artificial Analysis - who supported Anthropic's pre-release evaluation - just dropped their full benchmark breakdown. The headline: new top model for agentic knowledge work, and cheaper per task than Fable 5. That combinatio

When I started building my Maternity HL7-to-FHIR Pipeline , my first instinct was to do everything in Python. Parse the HL7 message, map the fields, validate the FHIR resource, persist it, all in one FastAPI service. It was clean. It was simple. It w

I wanted a low-level C project that touches memory management, recursive filesystem traversal, and platform-specific APIs - so I built a terminal disk usage analyzer from scratch. No external libraries, just the C standard library and OS system calls

A follow-up/sub-part to Part 3 of the LLM inference internals series. Part 3 built sampling-mode speculative decoding with KV caching on both the draft and verifier sides, and it worked correctly, but the speedup it delivered didn't match expectation

I want to start with the moment that actually made this project feel real, not theoretical. We had a demo support bot running, testing random refund flows, and at some point it responded with something like: "I've gone ahead and processed your refund

The most dangerous sentence in an AI-built app is often: The bug is fixed. That sentence can mean several different things: the original symptom disappeared; the error message was hidden; the failing path was bypassed; the code now handles one exampl

We ran Agent K against 12 seeded production incidents. It named the correct root cause 5 times out of 12 - 3 out of 9 if you discard the runs we couldn't cleanly attribute. Over the same 12 runs it produced the correct rollback / no-rollback verdict

Most multi-tenant applications keep tenants apart with one line of code, repeated forever: SELECT * FROM documents WHERE organization_id = $ 1 That line is load-bearing. Forget it once - in a new endpoint, in a join, in a hotfix at 2am, in a report s

Three categories of AI agent safety tooling: observability, security guardrails, and compliance evidence. What each does, where each falls short, and the one most teams are missing. Bottom line: tools for keeping AI agents safe fall into three groups

Clone it. Run it. Tell me where I'm wrong. git clone https://github.com/keniel13-ui/sequence-attack-repro cd sequence-attack-repro && python3 repro.py Stdlib only. No install. No model call. No network. About ten seconds. In June I wrote about this f

The most misunderstood part of JavaScript - finally explained with analogies, diagrams, and zero hand-waving. If you've ever wondered why setTimeout(fn, 0) doesn't actually run in 0 milliseconds, or why Promises always run before your setTimeout call

An awe-inspiring hacktivist who hacked two controversial government spyware makers may be the most prolific hacker to have never gotten caught. What do we know about Phineas Fisher?

A product manager asks whether ChatGPT can “just call our API” the way a deploy script does. The honest answer is usually no. A REST endpoint returns JSON when something supplies the right path, headers, and body. An assistant needs a named capabilit

My Solana Program Security Checklist This is for anyone shipping an Anchor program to mainnet - especially if you're coming from a web2 background and looking for the Solana equivalent of a PR template. Run it top to bottom before every deploy. Every

I spend most of my time on agentic systems, and I had absorbed the same idea everyone else has: a planner improves things, and a panel of drafters with a judge improves them further. It sounds obviously true. More thinking, more review, better answer

An exact-match cache misses "how do I reverse a list in Python" when it has already answered "python list reverse". A semantic cache doesn't: it embeds the prompt, finds the closest one it has seen, and replays that answer instead of calling the mode

MCP in enterprise: access control and audit logging Ship an MCP server at a company with compliance requirements and you will hit the same wall every team hits: the protocol connects your AI agent to tools beautifully, and it gives you almost nothing

I Run Bare-Metal Kubernetes on $200 of Scrap Hardware (And Why I Burned 3 SD Cards Learning) From a bricked Raspberry Pi to a 4-node Talos Linux cluster running Cilium eBPF, ArgoCD, and Longhorn - every failure, every fix, and the homelab that now ho

I have an SSH key that has never once existed as a file on my disk. It lives only inside an encrypted password manager vault, and every time it's used, I get a prompt to approve it. Here's why I set that up, and the near-miss that convinced me it was

Working on systems that move real money changes what "saved to the database" is allowed to mean. A row existing in Postgres is not the same claim as "this record is durable and this record is true." Here's the pattern I now apply to any code where a