Agentic coding tools make you faster. Most of them also make you worse at your job. aiworklab is the engineering workspace that closes tickets and closes the skill gap, built on the coding agents you already trust.
Private beta now · GA early Q4 2026
aiworklab is a teaching layer on top of the agent harnesses you already trust.
Every AI coding tool measures itself by lines accepted and time-to-first-diff. Nobody is measuring whether the human is getting better. Five years from now, that's going to bite.
Pick a mode per task. The agent is the same; your relationship with it changes. Mastered concepts pass through silently. Novel ones get the right amount of friction at the right moment.
Standard agent loop. Plans, executes, edits. The agent works, you ship. Concepts you encounter are silently logged to your skill graph for later review. No interruptions.
Same speed, with one beat of friction. Before applying any non-trivial diff, a 15-second comprehension check tied to that exact change. Pass and merge. Most learning happens here.
The agent withholds. You write the code; it reviews, points to bugs, asks Socratic questions, refuses to fix things for you. Slowest mode, deepest learning.
For agent-authored changes above a novelty threshold, the merge button stays disabled until you write a 2 to 3 sentence explanation of what the diff does and why. An LLM judges it against the diff.
Active recall is one of the most-studied learning techniques in cognitive science. Tab-to-accept skips it entirely. We put it back.
Concepts already marked demonstrated on your skill graph never trigger a check. The friction shrinks as you grow.
When you genuinely don't have time, you skip. We log it. Your weekly retention report shows the trade-offs honestly.
Product preview with sample data. The check appears only for concepts you haven't yet demonstrated.
Sign in with the LLM provider you already pay for, or point us at a local model running on your laptop. We never proxy or mark up inference traffic. This is a permanent design choice, not a launch limitation.
Paste your API key. Validated client-side and stored in the OS keychain. Nothing transits our servers.
One click. We never see your raw credentials. Tokens stay on-device. The easiest path for non-power users.
Auto-detects models running on localhost. Works fully offline. The only tier where regulated industries can ship.
Your admin provides a gateway URL; the team signs in via SSO. Standard for Team and Enterprise tiers.
An anonymised, aggregated dashboard of skill coverage across your engineering organisation. Concept retention curves. Bus-factor warnings on knowledge held by 2 or fewer engineers. The artefact that closes the budget conversation.
"We gave aiworklab to two teams running a head-to-head experiment. After eight weeks the coached group had higher solo throughput and better retention numbers. The other group closed more tickets. Leadership picked the wrong metric for a decade."
"I've been shipping TypeScript for six years. aiworklab surfaced a gap in my understanding of how the compiler resolves conditional types that I genuinely didn't know was there. That's the product working as designed, and it's uncomfortable in exactly the right way."
"Coach mode on a Saturday morning is the closest I've come to real deep work since Copilot became default. The agent withholding is a feature, not a bug."
"The explain-to-merge gate caught a race condition in a diff my agent produced that I had just accepted without thinking. That's worth the subscription alone."
"The skill graph surfaced three concepts I'd been avoiding for months by leaning on the agent. Seeing them labeled 'encountered, not demonstrated' was genuinely humbling."
Quotes from private alpha participants, shared with permission and lightly edited for length. Roles and locations are as self-described; surnames are abbreviated for privacy.
Join the engineers and teams who think the next phase of AI tooling should be measured by what it does to the human, not just for them.
No commitment · we'll write back personally