Coding Assistants Move From Autocomplete to Agents
The newest developer tools no longer just finish your line — they open pull requests, run tests, and iterate. We look at whether the hype holds up.
Marcus Okafor🇺🇸 Industry & Business EditorJun 28, 2026 5m readAutocomplete was the training-wheels era of AI coding. The new generation of tools wants the keys to the whole workflow.
From suggestions to actions
Instead of proposing a snippet, agentic assistants now plan a change, edit multiple files, run the test suite, and surface a diff for review. In small, well-tested repositories the results are genuinely useful.
Where it still breaks
Large, under-documented codebases remain hard. Agents confidently refactor things they do not fully understand, and the cost of reviewing a wrong 400-line diff can exceed the time saved.
- Best results: greenfield features, test writing, migrations
- Weakest results: sprawling legacy systems with implicit conventions
The verdict: treat these as fast, tireless junior engineers who need a firm review process, not as autonomous replacements.
🇺🇸 Industry & Business Editor · San Francisco, USA
Follows the money, the deals, and the power moves behind the models.
Partial Differential Equations: Theory, Methods, and Applications
by Richard Murdoch Montgomery
A rigorous, modern treatment of the heat, wave and Laplace equations — the math that underpins the physics of computation.
Scientific Calculators: Treatises and Manuals
by Richard Murdoch Montgomery
The definitive 15-volume series bridging user manuals and applied mathematics — from the TI-Nspire CX II CAS to financial solvers.
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