Nestimate

How I approached solving an interview task for autonomous driving from 3 different perspectives: RANSAC, PCA, and Ordinary Least Squares (OLS).

RANSAC, OLS, PCA: 3 Ways to Draw a Straight Line Across a Set of Points

Estimating IT projects is a pain. When I started my path and tried to estimate my time spent while being a developer, I always underestimated things. Every time there would appear a job I didn’t account for. Colleagues told me to multiply my estimates by 2, 3, the number Pi. Only it didn’t help to increase the estimation accuracy, just added other problems. For example, when I had to explain where the high numbers came from.

A Guide to Making Estimates for Software Development Projects

Ask any developer to estimate how long it will take for them to finish a project. You will see the loathing in their eyes. And for good reason. Estimates have been wrongly used for decades by a lot of managers who then hold the team accountable to their estimate as if it were the actual deadline. Even more frustrating, in many cases those managers only act on the lowest number they hear from you! It’s as if they had a min() function, and they just keep trying to get the number lower. But engineering is not magic!! No wonder the hashtag #NoEstimates has become famous.

How to Make Estimates Finally Useful to Developers

Hopefully I caught your attention with the controversial (and admittedly hyperbolic) title. Good. Let me restate it in a slightly more elegant and less <em>clickbaity</em> form:

You have to choose between Software Delivered on Time and Good Software

<span>If</span> you could travel back in time and change one thing in a delivered project, what would it be?

Decisions

‘When will it be done?’ is one of the most common and difficult questions to answer in software development.

Estimation — how can we estimate with confidence in software delivery?

aws dynamodb cost optimization through efficient schema design for orchestration application

Cost Optimization Techniques for AWS DynamoDB in Orchestration Applications

Overview of Large Language Model (LLM) inference, its importance, challenges, and key problem formulation.

Primer on Large Language Model (LLM) Inference Optimizations: 1. Background and Problem Formulation

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