The next decade of software will be written differently
Not because the languages change, but because the cost of the first draft is collapsing, and that moves the bottleneck.
Angel Maile · 2 min read
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Notes from the studio.
Eight pieces on the things we argue about internally: evaluating AI properly, choosing boring technology, cloud economics, and what actually makes a team able to ship.
- Building Scalable Products
- Future of Technology
- Digital Transformation
- Developer Productivity
- Cybersecurity
- Cloud Computing
- Software Engineering
- Artificial Intelligence
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Everything we published this month.
Digital transformation fails in the middle
The strategy is sound and the software works. The programme still stalls, and it usually stalls in the same place.
Bonolo Mathabela · 2 min readFour numbers that tell you if your team can ship
Velocity points measure activity. These four measure whether work reaches users safely.
Angel Maile · 2 min readSecurity is a delivery practice, not a gate
A penetration test two weeks before launch is not a security programme. It is a deadline with bad news attached.
Bonolo Mathabela · 2 min readYour cloud bill is a design document
Line items are architecture, written in a language finance can read. Most of them are telling you something.
Angel Maile · 2 min readBoring technology is a competitive advantage
Novelty has a carrying cost. Here is how we decide where a project is allowed to be interesting.
Bonolo Mathabela · 3 min readThe gap between an AI demo and an AI system
A prompt that impresses a boardroom will behave unpredictably against ten thousand real documents. The work is everything in between.
Angel Maile · 3 min read
Authors
Written by the founders, not a content team.
Angel Maile
As CTO their work concentrates on the two places where enterprise software either compounds or collapses: architecture decided early, and applied AI evaluated properly before anyone trusts it. Angel owns technical direction, sits in on the first discovery workshop of every engagement, and writes about the discipline of putting models into production.
Full profileBonolo Mathabela
Before Bonang, Bonolo spent years on platform and reliability engineering in high-volume systems, which is where the studio's habits come from: infrastructure as code, tests that mean something, observability from day one, and a strong preference for boring technology in the places that must not fail.
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