Blog
Notes from the loop.
How an autonomous engineer is actually built — the rules, the architecture, and the unit of work that makes it trustworthy.
From issue to pull request: automating the dev workflow with AI
The distance from a bug report to a reviewed, merged fix is where engineering time goes. Here is how an autonomous agent automates the whole journey, issue to PR.
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What is an autonomous AI software engineering agent?
An autonomous AI engineering agent owns a unit of work end to end: it plans, codes, tests, verifies, and ships behind human approval gates. Here is how it differs from a copilot.
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Will AI replace software developers? A realistic 2026 view
AI is not replacing developers, but it is dissolving the mechanical middle of the job and raising the value of judgment. What the role actually becomes in 2026.
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The EU AI Act: what software teams need to know in 2026
The EU AI Act is risk-based, so most software is lightly touched while a narrow set of high-stakes uses carry heavy duties. A practical 2026 guide for dev teams.
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Self-improving AI: how agents get sharper with every pass
Self-improvement is not a model retraining in the dark. It is a feedback loop: iterating against test output within a task and accumulating context across tasks.
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The agentic loop: how AI agents plan, code, test, and ship
The real engine of an autonomous agent is the loop, not the code generation. We walk through plan, code, test, verify, ship, and monitor, stage by stage.
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