Braintrust Unveils Revolutionary Codex Tech to Automate Customer Code Requests
How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.
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37 articles found
How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.
Software development sounds pretty straightforward at first, right? Build the product, test it, and deliver it. Done. But here's the thing — in reality, things rarely go exactly as planned. Requirements change midway through development, new ideas pop up unexpectedly, deadlines shift, customer expec
The Great Serverless Pause: Battling the "Cold Start" Beast Ever ordered a pizza and it took ages to arrive, leaving you ravenous and staring at an empty mailbox? That agonizing wait, that feeling of "is it even coming?" – that, my friends, is the serverless equivalent of a "cold start." In the dazz
Every developer knows the pain of running a security scan. You wait for it to finish, only to be handed a giant report filled with hundreds of warnings. You then have to spend the next three hours manually testing each one, only to find out that almost all of them are false positives. It is a massiv
Most AI coding comparisons test "Hello World" apps and call it a day. I ran every major tool through the same three-stage gauntlet: a simple build, a complex full-stack application, and multiple rounds of revisions. The best AI for code should hold up under all three. Most do not. Here is what I fou
If you run Trivy or Grype in CI and triage the output by CVSS, this is the thing I wish I'd had two years ago. Quick recap. Trivy and Grype hand you a list of CVEs. CVSS is a score in a vacuum — it doesn't know whether a service runs in a private subnet behind mTLS, or sits on the open internet hand
The Problem We Were Actually Solving Last October we pushed Veltrix 2.4.1 into production with a new configuration layer called treasure-hunt-engine. The pitch from marketing was slick: infinite server scalability, zero cold starts, instant detection of every traffic spike. What we actually inherite
Your "Autonomous Agent" Is Just a Cron Job With Better Marketing I run 30+ autonomous pipelines on a single VPS. They post content, audit security, analyze markets, and learn continuously. No human in the loop. Here is what nobody in the AI startup ecosystem wants to admit: most of what is being sol
A rules file starts as one page. Six months later it is fourteen pages and nobody can remember what is in it. The team adds a new rule whenever something annoys them and never deletes anything. The agent loads the whole file into context every session, ignores most of it, and the team is convinced i
So, you're building an internal platform that covers lots of different groups, teams, and places to deploy. The way you set up your code isn't just a minor detail — it's a big decision that gets even bigger over time. Here's how we moved QuokkaQ, a system for managing queues across 14 offices and 36
In 2020, during the pandemic lockdown, I built a working Kubernetes CSI Driver prototype in a hackathon. It was good enough to win. But turning it into a production-ready integration took months — and eventually required a team of 3 additional engineers to get there. Same person. Same domain. Same c
Right! When Claude is finally getting it - your codebase, your weird architectural choices, that one bug you've been chasing for three days, BOOM! it stops. In between! Rate limit exceeded. Please try again later. Later!? Like am I supposed to just pause my brain and come back in another five hours?
Advisory CI gates are where good intentions go to die. A team adds a linter "in warning mode for now," and "for now" becomes forever. The violations scroll past in PR reviews, nobody cleans them, the gate never goes blocking. Six months later the warnings are archaeological noise. The pattern that b
100 Days of DevOps: Day 58 Wycliffe A. Onyango Sep 30 '25 #devops #kubernetes #containers #linux 1 reaction Add Comment 2 min read
Most outages aren't caused by bad code. They're caused by good code deployed in the wrong order. Senior developers don't rely on memory before a deploy. They run a checklist — every single time, even for a one-line change. Here's the exact checklist, and why each step exists. Pilots don't skip the p
This guide walks through building a powerful terminal environment used by Senior Site Reliability Engineers, DevOps Engineers, and Infrastructure Engineers. It focuses on: Productivity Safety in production environments Better visibility of system state Faster workflows Modern tooling In real infrast
Microsoft added sandboxed code interpreters to Azure Logic Apps, enabling agents within integration workflows to generate and execute Python, JavaScript, C#, and PowerShell in Hyper-V isolated sessions. Architects get full control over model selection per workflow. The capability positions Logic App
Understanding why Linux became the backbone of DevOps, cloud computing, and modern infrastructure. Every time you open a website, stream a movie, use Android, or deploy an application to the cloud, there’s a very high chance Linux is running behind the scenes. Linux is no longer just an operating sy
The Problem We Were Actually Solving The real pain wasnt disk size; it was cognitive load on level designers. Every hunt lived in a separate fork of the same monorepo, diffing 14 kB YAMLs was misery, and once the file exceeded 100 kB we started getting partial-checkout timeouts in CI because Git wou
Here's something the container ecosystem doesn't say loudly enough: runc is not the only option, and for a growing number of production workloads, it's the wrong one. AWS Lambda doesn't run your function in a Docker container. It runs it in a Firecracker microVM. Fly.io's Machines? Firecracker fork.