For Developers
Your AI can write code. TRW makes it engineer.
TRW loads prior context, checkpoints progress, runs quality gates, and persists what each session learns — so speed stops coming at the cost of reliability.
Without continuity, the same problems reopen
AI coding tools are powerful, but the working context is fragile. Decisions, fixes, and edge cases disappear unless the workflow preserves them on purpose.
of developers cite context loss as their primary frustration with AI coding tools.
CodeRide 2025
of developers actively distrust AI output — they use it despite not trusting it.
Stack Overflow 2025
productivity loss measured in experienced developers using stateless AI tools.
METR Study 2025
Four commands. A durable engineering loop.
Every session follows the same disciplined flow — load context, checkpoint progress, verify before delivery, and carry the right knowledge forward.
Everything your agent needs to work like an engineer
Each capability solves a specific failure mode in AI-assisted development. Together, they create the engineering discipline that turns output into outcomes.
Every session starts from zero
Project context loads automatically before the work starts
trw_session_start()
No way to verify AI-generated code
Automated build gates catch regressions before delivery
trw_build_check()
Valuable discoveries disappear
Impact-scored learnings surface when relevant
trw_learn()
Knowledge dies with the session
One command persists everything for next time
trw_deliver()
The difference discipline makes
Same task. 49 sessions of learning between them.
Re-explain your architecture every session
Hundreds of learnings loaded instantly
AI makes the same mistake for the third time
Past discoveries surface before the mistake happens
Session crashes and all progress is lost
Checkpoint restored — resume from last milestone
Ship code and hope the tests pass
Build gate blocks delivery until tests + types are clean
Next session starts from scratch again
Next session starts from everything this one learned
See it in the code
Same function, same task. The difference is 49 sessions of accumulated knowledge.
Trust, but verify
TRW doesn't ask you to trust the AI. It verifies the output. Every delivery must pass structural quality gates before it ships.
Automated Build Gates
Every delivery must pass pytest + mypy with enforced coverage thresholds. No exceptions, no overrides.
8,000+ tests
in the TRW codebase itself
Independent Review
A dedicated review agent examines code it didn't write. Catches logic errors, missed requirements, and quality issues the builder can't see.
pass / warn / block
structured verdict system
Full Audit Trail
Every phase, every checkpoint, every learning — recorded. Know exactly what your agent did, when it did it, and why.
6-phase lifecycle
research through delivery
One config entry. That's it.
No dependencies. No code changes. No migrations. Remove it anytime.
# Install and initialize
$ curl -fsSL https://trwframework.com/install.sh | bash
# That's it. Start a Claude Code session.
TRW loads automatically on every session.
Stop rebuilding context.
Start shipping with proof.
Your AI is already fast. Give it durable context, checkpoints, and verification so the work survives review, handoff, and the next session.